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E

ebm25() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest: ExtremeBM25 algorithm
EBM25 - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir: Adaptation of an extreme version of the BM25 algorithm, where the k parameter tends to infinity, without term discrimination.
EBM25 - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Extreme BM25 algorithm.
EBM25(FastGraph, EdgeOrientation, EdgeOrientation, EdgeOrientation, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.EBM25: Constructor
EBM25GridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir: Grid search generator for the Extreme BM25 algorithm.
EBM25GridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir.EBM25GridSearch
eccentricity - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.graph.ReciprocalAverageEccentricity: Distance calculator.
eccentricity() - Method in class es.uam.eps.ir.relison.metrics.DistanceMetricsTest: Test the eccentricity of the nodes.
Eccentricity - Class in es.uam.eps.ir.relison.sna.metrics.distance.vertex: Metric that computes the eccentricity of the nodes.
Eccentricity() - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.vertex.Eccentricity: Constructor.
Eccentricity(DistanceCalculator) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.vertex.Eccentricity: Constructor.
ECCENTRICITY - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers: Identifier for the eccentricity metric.
EccentricityGridSearch - Class in es.uam.eps.ir.relison.grid.sna.vertex: Grid for the eccentricity of a node.
EccentricityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.EccentricityGridSearch
EDGE_METRIC - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricTypeIdentifiers: Edge / link metrics.
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedUnweightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedWeightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedUnweightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedWeightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.UndirectedUnweightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.graph.UndirectedWeightedGraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.multigraph.DirectedUnweightedMultigraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.multigraph.DirectedWeightedMultigraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedUnweightedMultigraphTest: Tests the addition of edges to the graph
edgeAddition() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedWeightedMultigraphTest: Tests the addition of edges to the graph
edgeBetweenness - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.CompleteDistanceCalculator: Edge betweenness map.
edgeBetweenness() - Method in class es.uam.eps.ir.relison.metrics.DistanceMetricsTest: Test the betweenness of the edges.
EdgeBetweenness - Class in es.uam.eps.ir.relison.sna.metrics.distance.pair: Computes the edge betweenness of the graph.
EdgeBetweenness(boolean) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.pair.EdgeBetweenness: Constructor.
EdgeBetweenness(DistanceCalculator, boolean) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.pair.EdgeBetweenness: Constructor.
EdgeBetweennessGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid search for the betweenness.
EdgeBetweennessGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.EdgeBetweennessGridSearch
EDGEBETWENNESS - Static variable in class es.uam.eps.ir.relison.grid.community.CommunityDetectionIdentifiers: Identifier of the edge betweenness-based community detection approach.
EdgeGini - Class in es.uam.eps.ir.relison.sna.metrics.graph: Computes the value for Gini for the different pairs of nodes.
EdgeGini(EdgeGiniMode) - Constructor for class es.uam.eps.ir.relison.sna.metrics.graph.EdgeGini: Constructor.
EdgeGiniMode - Enum in es.uam.eps.ir.relison.sna.metrics.graph: Different execution modes for the PairGini metric.
EdgeGiniMode() - Constructor for enum es.uam.eps.ir.relison.sna.metrics.graph.EdgeGiniMode
edgeMetric - Variable in class es.uam.eps.ir.relison.sna.metrics.graph.aggregate.AggregateEdgeMetric: Edge metric.
EdgeMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge: Global reranker strategy that reorders the candidate users according to an edge metric that we want to optimize.
EdgeMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge: Reranker strategy that optimizes the average value of an edge metric.
EdgeMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.edge: Abstract implementation of a reranking algorithm that modifies the ranking according to the values of an edge metric.
EdgeMetricReranker(double, int, Supplier<Normalizer>, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge.EdgeMetricReranker: Constructor.
EdgeMetricReranker(double, int, Supplier<Normalizer>, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.EdgeMetricReranker: Constructor.
EdgeMetricReranker(double, int, Supplier<Normalizer>, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.EdgeMetricReranker: Constructor.
EdgeMetricReranker.GraphMetricEdgeReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.edge: Class that reranks an individual recommendation using edge metrics.
EdgeOrientation - Enum in es.uam.eps.ir.relison.graph.edges: Indicates the orientation of the edges to take.
EdgeOrientation() - Constructor for enum es.uam.eps.ir.relison.graph.edges.EdgeOrientation
edges - Variable in class es.uam.eps.ir.relison.graph.fast.AbstractFastGraph: Edges in the network.
edges - Variable in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph: Edges in the network
Edges - Interface in es.uam.eps.ir.relison.graph.edges: Interface that represents the edges of a graph.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedUnweightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedWeightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedUnweightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedWeightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.UndirectedUnweightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.graph.UndirectedWeightedGraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.multigraph.DirectedUnweightedMultigraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.multigraph.DirectedWeightedMultigraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedUnweightedMultigraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
edgesAndNodesCount() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedWeightedMultigraphTest: Test that checks if the number of nodes and edges which reach a node or start from it are correct.
EdgeType - Class in es.uam.eps.ir.relison.graph.edges: Class that represents the type of the edges.
EdgeType(int) - Constructor for class es.uam.eps.ir.relison.graph.edges.EdgeType: Constructor.
EdgeType(int, Integer) - Constructor for class es.uam.eps.ir.relison.graph.edges.EdgeType: Constructor.
EdgeWeight - Class in es.uam.eps.ir.relison.graph.edges: Class that represents the weight of the edges.
EdgeWeight<V> - Class in es.uam.eps.ir.relison.sna.metrics.pair: Finds the weight of an edge in a graph.
EdgeWeight() - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.EdgeWeight: Constructor.
EdgeWeight(int) - Constructor for class es.uam.eps.ir.relison.graph.edges.EdgeWeight: Constructor.
EdgeWeight(int, double) - Constructor for class es.uam.eps.ir.relison.graph.edges.EdgeWeight: Constructor.
EdgeWeightGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid search for the edge weight.
EdgeWeightGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.EdgeWeightGridSearch
EFOAF - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers: Identifier for the expanded common neighbors metric.
EFOAFCOUNT - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers: Identifier for the expanded common neighbors count metric.
EIGEN - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers: Identifier for the eigenvector centrality.
EigenvectorCentrality - Class in es.uam.eps.ir.relison.sna.metrics.vertex: Finds the eigenvector centrality of the network, which measures the importance of a node based on the importance of its neighbors.
EigenvectorCentrality() - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.EigenvectorCentrality: Constructor.
EigenvectorCentrality(EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.EigenvectorCentrality: Constructor.
EigenvectorCentrality(MatrixLibrary) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.EigenvectorCentrality: Constructor.
EigenvectorCentrality(MatrixLibrary, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.EigenvectorCentrality: Constructor.
EigenvectorCentralityGridSearch - Class in es.uam.eps.ir.relison.grid.sna.vertex: Grid for the eigenvector centrality of a node.
EigenvectorCentralityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.EigenvectorCentralityGridSearch
embededness() - Method in class es.uam.eps.ir.relison.metrics.PairMetricsTest
Embededness - Class in es.uam.eps.ir.relison.sna.metrics.pair: Computes the embeddedness the pairs of nodes of a graph.
Embededness(EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.Embededness: Constructor.
EMBEDEDNESS - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers: Identifier for the embeddedness metric.
EmbedednessGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid for the embeddedness of a pair of users.
EmbedednessGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.EmbedednessGridSearch
EmbedednessReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge: Swap reranker for optimizing the average embeddedness of the graph.
EmbedednessReranker(double, int, Supplier<Normalizer>, Graph) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.EmbedednessReranker: Constructor
empty() - Method in class es.uam.eps.ir.relison.metrics.CorenessTest: Checks the coreness for a group of empty networks.
EMPTY - Static variable in class es.uam.eps.ir.relison.examples.graphgen.GraphGenerationAlgorithms: Identifier for empty graph generators.
EmptyFeatureFilter - Class in es.uam.eps.ir.relison.diffusion.data.filter: For each information piece without no features, it adds a new feature, with value 1.0
EmptyFeatureFilter(F) - Constructor for class es.uam.eps.ir.relison.diffusion.data.filter.EmptyFeatureFilter: Constructor.
EmptyFeatureFilterConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.filter: Class for configuring a filter that adds, for each information piece without any feature, an empty feature.
EmptyFeatureFilterConfigurator(F) - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.EmptyFeatureFilterConfigurator: Constructor.
EmptyGraphGenerator - Class in es.uam.eps.ir.relison.graph.generator: Empty graph generator.
EmptyGraphGenerator() - Constructor for class es.uam.eps.ir.relison.graph.generator.EmptyGraphGenerator
EmptyMultiGraphGenerator - Class in es.uam.eps.ir.relison.graph.generator: Creates an empty multigraph
EmptyMultiGraphGenerator() - Constructor for class es.uam.eps.ir.relison.graph.generator.EmptyMultiGraphGenerator
EMPTYTAG - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterIdentifiers: Identifier for the filter which adds a new feature for empty feature pieces.
EmptyTreeGenerator - Class in es.uam.eps.ir.relison.graph.generator: Empty tree generator.
EmptyTreeGenerator() - Constructor for class es.uam.eps.ir.relison.graph.generator.EmptyTreeGenerator
emptyValue - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.EmptyFeatureFilter: Value for the empty feature.
EmptyWriter<U,I> - Class in es.uam.eps.ir.relison.examples: Class for storing / reading recommendations on RAM memory.
EmptyWriter() - Constructor for class es.uam.eps.ir.relison.examples.EmptyWriter: Constructor.
END - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader
END - Static variable in class es.uam.eps.ir.relison.grid.GridReader: Identifier for the end of an interval
engine - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.contentbased.TwittomenderRecommender: A search engine for performing the search.
Entropy - Class in es.uam.eps.ir.relison.utils.indexes: Computes the entropy of a series.
Entropy() - Constructor for class es.uam.eps.ir.relison.utils.indexes.Entropy
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.creator.global.CreatorGlobalEntropy: Name fixed value.
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.creator.individual.CreatorIndividualEntropy: Name fixed value.
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalEntropy: Name fixed value
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalKLDivergence: Name fixed value.
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalKLDivergenceInverse: Name fixed value.
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureIndividualEntropy: Name fixed value.
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureIndividualKLDivergence: Name fixed value.
ENTROPY - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureKLDivergenceInverse: Name fixed value.
ENTROPY - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers: Identifier for the feature Entropy metric.
equals(Object) - Method in class es.uam.eps.ir.relison.diffusion.data.FastUser
equals(Object) - Method in class es.uam.eps.ir.relison.diffusion.data.Feature
equals(Object) - Method in class es.uam.eps.ir.relison.diffusion.data.Information: Checks if two elements are equal.
equals(Object) - Method in class es.uam.eps.ir.relison.diffusion.simulation.UserState
equals(Object) - Method in class es.uam.eps.ir.relison.utils.datatypes.CompTuple2oo
equals(Object) - Method in class es.uam.eps.ir.relison.utils.datatypes.Tuple2oo
ERDOS - Static variable in class es.uam.eps.ir.relison.examples.graphgen.GraphGenerationAlgorithms: Identifier for random Erdos graph generators.
ErdosGenerator - Class in es.uam.eps.ir.relison.graph.generator.random: Generates a random graph following the ErdÃ¶s-Renyi model.
ErdosGenerator() - Constructor for class es.uam.eps.ir.relison.graph.generator.random.ErdosGenerator
ERRIA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the ERR-IA metric
ERRIAConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv: Grid search for configuring the ERRIA of the recommendations.
ERRIAConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv.ERRIAConfigurator
error(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic
error(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerSigmoid
error(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.ALSUpdateableFactorizer: Squared loss of two matrices.
error(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.HKVUpdateableFactorizer
error(UpdateableFactorization<U, I>, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.ALSUpdateableFactorizer: Global loss of the factorization.
error(UpdateableFactorization<U, I>, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.UpdateableFactorizer: Global loss of the factorization.
ERROR_CLASS - Static variable in class es.uam.eps.ir.relison.links.data.letor.Instance: Value to apply when the class is unknown or undefined.
errorMessage() - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.AblationExperimentExample: Obtains the error message for the LETORExperiment main function.
es.uam.eps.ir.relison - package es.uam.eps.ir.relison
es.uam.eps.ir.relison.community - package es.uam.eps.ir.relison.community
es.uam.eps.ir.relison.content - package es.uam.eps.ir.relison.content: Classes and definitions for user-generated contents in social networks.
es.uam.eps.ir.relison.content.index - package es.uam.eps.ir.relison.content.index: Content inverted index definitions.
es.uam.eps.ir.relison.content.index.exceptions - package es.uam.eps.ir.relison.content.index.exceptions: Index related exceptions.
es.uam.eps.ir.relison.content.index.freq - package es.uam.eps.ir.relison.content.index.freq: Definitions of objects for storing frequencies of terms in documents.
es.uam.eps.ir.relison.content.index.freq.impl - package es.uam.eps.ir.relison.content.index.freq.impl: Implementation of frequency vectors.
es.uam.eps.ir.relison.content.index.freq.lucene - package es.uam.eps.ir.relison.content.index.freq.lucene: Lucene implementation of frequency vectors.
es.uam.eps.ir.relison.content.index.individual - package es.uam.eps.ir.relison.content.index.individual: Definition of indexes storing different pieces for each user.
es.uam.eps.ir.relison.content.index.lucene - package es.uam.eps.ir.relison.content.index.lucene: Lucene wrappers for the different indexes.
es.uam.eps.ir.relison.content.index.structure - package es.uam.eps.ir.relison.content.index.structure: Structural elements of indexes.
es.uam.eps.ir.relison.content.index.structure.lucene - package es.uam.eps.ir.relison.content.index.structure.lucene: Lucene implementation of posting lists.
es.uam.eps.ir.relison.content.index.structure.positional - package es.uam.eps.ir.relison.content.index.structure.positional: Structural elements of positional indexes.
es.uam.eps.ir.relison.content.index.structure.positional.lucene - package es.uam.eps.ir.relison.content.index.structure.positional.lucene: Lucene implementation of positional posting lists.
es.uam.eps.ir.relison.content.parsing - package es.uam.eps.ir.relison.content.parsing: Content parsers.
es.uam.eps.ir.relison.content.search - package es.uam.eps.ir.relison.content.search: Search engines over user-generated content indexes.
es.uam.eps.ir.relison.diffusion.data - package es.uam.eps.ir.relison.diffusion.data: Basic classes and interfaces for simulating the information propagation.
es.uam.eps.ir.relison.diffusion.data.filter - package es.uam.eps.ir.relison.diffusion.data.filter: Data filters, for filtering the information pieces that reach the simulation.
es.uam.eps.ir.relison.diffusion.expiration - package es.uam.eps.ir.relison.diffusion.expiration: Expiration mechanisms, that control how much time pieces of information can be repropagated in the network.
es.uam.eps.ir.relison.diffusion.io - package es.uam.eps.ir.relison.diffusion.io: Classes for reading and writing the data from/to a text file/set of text files.
es.uam.eps.ir.relison.diffusion.io.backup - package es.uam.eps.ir.relison.diffusion.io.backup: Classes for reading and writing the simulations.
es.uam.eps.ir.relison.diffusion.metrics - package es.uam.eps.ir.relison.diffusion.metrics: Propagation metrics.
es.uam.eps.ir.relison.diffusion.metrics.creator.global - package es.uam.eps.ir.relison.diffusion.metrics.creator.global: Global diffusion metrics based on the creators of the propagated contents.
es.uam.eps.ir.relison.diffusion.metrics.creator.individual - package es.uam.eps.ir.relison.diffusion.metrics.creator.individual: Diffusion metrics for each individual user.
es.uam.eps.ir.relison.diffusion.metrics.distributions - package es.uam.eps.ir.relison.diffusion.metrics.distributions: Element distributions on the diffusion.
es.uam.eps.ir.relison.diffusion.metrics.features - package es.uam.eps.ir.relison.diffusion.metrics.features: Diffusion metrics based on the user and information pieces features.
es.uam.eps.ir.relison.diffusion.metrics.features.global - package es.uam.eps.ir.relison.diffusion.metrics.features.global: Global diffusion metrics based on the user and information pieces features.
es.uam.eps.ir.relison.diffusion.metrics.features.indiv - package es.uam.eps.ir.relison.diffusion.metrics.features.indiv: Local diffusion metrics based on the user and information pieces features.
es.uam.eps.ir.relison.diffusion.metrics.informationpieces.global - package es.uam.eps.ir.relison.diffusion.metrics.informationpieces.global: Global diffusion metrics based on the information pieces.
es.uam.eps.ir.relison.diffusion.metrics.informationpieces.individual - package es.uam.eps.ir.relison.diffusion.metrics.informationpieces.individual: Diffusion metrics for each individual information piece.
es.uam.eps.ir.relison.diffusion.propagation - package es.uam.eps.ir.relison.diffusion.propagation: Propagation mechanisms, for selecting the set of users which will receive the propagated information.
es.uam.eps.ir.relison.diffusion.protocols - package es.uam.eps.ir.relison.diffusion.protocols: Information diffusion protocols.
es.uam.eps.ir.relison.diffusion.selections - package es.uam.eps.ir.relison.diffusion.selections: Selection mechanism, for selecting the pieces of information to propagate.
es.uam.eps.ir.relison.diffusion.sight - package es.uam.eps.ir.relison.diffusion.sight: Sight mechanism, for selecting the information pieces which will be observed.
es.uam.eps.ir.relison.diffusion.simulation - package es.uam.eps.ir.relison.diffusion.simulation: Simulation engine classes and interfaces.
es.uam.eps.ir.relison.diffusion.stop - package es.uam.eps.ir.relison.diffusion.stop: Stop mechanism, for deciding when the simulation finishes.
es.uam.eps.ir.relison.diffusion.update - package es.uam.eps.ir.relison.diffusion.update: Update mechanism, for moving information pieces between the different lists.
es.uam.eps.ir.relison.examples - package es.uam.eps.ir.relison.examples: Program examples.
es.uam.eps.ir.relison.examples.content - package es.uam.eps.ir.relison.examples.content: Programs for computing user-generated content indexes.
es.uam.eps.ir.relison.examples.diffusion - package es.uam.eps.ir.relison.examples.diffusion: Programs for simulating and evaluating the information diffusion process in social networks.
es.uam.eps.ir.relison.examples.graphgen - package es.uam.eps.ir.relison.examples.graphgen: Programs for generating random network graphs.
es.uam.eps.ir.relison.examples.links.prediction - package es.uam.eps.ir.relison.examples.links.prediction: Programs for performing link prediction over networks.
es.uam.eps.ir.relison.examples.links.recommendation - package es.uam.eps.ir.relison.examples.links.recommendation: Programs for performing link recommendation over networks.
es.uam.eps.ir.relison.examples.links.recommendation.evaluation - package es.uam.eps.ir.relison.examples.links.recommendation.evaluation: Programs for evaluating link recommendation approaches.
es.uam.eps.ir.relison.examples.sna - package es.uam.eps.ir.relison.examples.sna: Programs for measuring social network analysis metrics and detecting community partitions.
es.uam.eps.ir.relison.graph - package es.uam.eps.ir.relison.graph: Package containing the basic definitions of graphs.
es.uam.eps.ir.relison.graph.complementary - package es.uam.eps.ir.relison.graph.complementary: Classes defining the complementary of a graph.
es.uam.eps.ir.relison.graph.edges - package es.uam.eps.ir.relison.graph.edges: Class definitions for the links of a graph.
es.uam.eps.ir.relison.graph.edges.fast - package es.uam.eps.ir.relison.graph.edges.fast: Classes which provide fast implementations of edges.
es.uam.eps.ir.relison.graph.fast - package es.uam.eps.ir.relison.graph.fast: Fast graph implementations.
es.uam.eps.ir.relison.graph.generator - package es.uam.eps.ir.relison.graph.generator: Graph generators and auxiliar classes for graph generation.
es.uam.eps.ir.relison.graph.generator.exception - package es.uam.eps.ir.relison.graph.generator.exception: Exceptions for graph generators.
es.uam.eps.ir.relison.graph.generator.random - package es.uam.eps.ir.relison.graph.generator.random: Graph generators for random models.
es.uam.eps.ir.relison.graph.jung - package es.uam.eps.ir.relison.graph.jung: Wrapper classes for the JUNG library
es.uam.eps.ir.relison.graph.multigraph - package es.uam.eps.ir.relison.graph.multigraph: Multigraph interfaces and classes.
es.uam.eps.ir.relison.graph.multigraph.edges - package es.uam.eps.ir.relison.graph.multigraph.edges: Multiedges classes and interfaces.
es.uam.eps.ir.relison.graph.multigraph.edges.fast - package es.uam.eps.ir.relison.graph.multigraph.edges.fast: Fast implementations of multigraph edges
es.uam.eps.ir.relison.graph.multigraph.fast - package es.uam.eps.ir.relison.graph.multigraph.fast: Fast implementations of multigraphs.
es.uam.eps.ir.relison.graph.tree - package es.uam.eps.ir.relison.graph.tree: Interfaces for tree structures.
es.uam.eps.ir.relison.graph.tree.fast - package es.uam.eps.ir.relison.graph.tree.fast: Fast implementations of tree structures.
es.uam.eps.ir.relison.grid - package es.uam.eps.ir.relison.grid: Classes and interfaces for configuration files.
es.uam.eps.ir.relison.grid.community - package es.uam.eps.ir.relison.grid.community: Classes and interfaces for configuration files for community detection algorithms.
es.uam.eps.ir.relison.grid.community.connectedness - package es.uam.eps.ir.relison.grid.community.connectedness: Configurators for community detection algorithms based on the connectedness of the users.
es.uam.eps.ir.relison.grid.community.modularity - package es.uam.eps.ir.relison.grid.community.modularity: Configurators for modularity-based community detection algorithms.
es.uam.eps.ir.relison.grid.community.modularity.balanced - package es.uam.eps.ir.relison.grid.community.modularity.balanced: Configurators for modularity-based community detection algorithms balancing the number of users on each community.
es.uam.eps.ir.relison.grid.diffusion - package es.uam.eps.ir.relison.grid.diffusion: Classes and interfaces for configuration files for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.expiration - package es.uam.eps.ir.relison.grid.diffusion.expiration: Classes and interfaces for configuration files for expiration mechanisms for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.filter - package es.uam.eps.ir.relison.grid.diffusion.filter: Classes and interfaces for configuration files for data filters for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.metrics - package es.uam.eps.ir.relison.grid.diffusion.metrics: Classes and interfaces for configuration files for metrics for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.metrics.creator - package es.uam.eps.ir.relison.grid.diffusion.metrics.creator: Classes and interfaces for configuration files for metrics for information propagation simulations based on the content creators.
es.uam.eps.ir.relison.grid.diffusion.metrics.distributions - package es.uam.eps.ir.relison.grid.diffusion.metrics.distributions: Classes and interfaces for configuration files for distributions for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.metrics.features.global - package es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Classes and interfaces for configuration files for global metrics for information propagation simulations based on the user / information pieces features.
es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv - package es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Classes and interfaces for configuration files for metrics for information propagation simulations based on each user / information pieces feature.
es.uam.eps.ir.relison.grid.diffusion.metrics.informationpieces - package es.uam.eps.ir.relison.grid.diffusion.metrics.informationpieces: Classes and interfaces for configuration files for metrics for information propagation simulations based on the information pieces.
es.uam.eps.ir.relison.grid.diffusion.propagation - package es.uam.eps.ir.relison.grid.diffusion.propagation: Classes and interfaces for configuration files for propagation mechanisms for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.protocol - package es.uam.eps.ir.relison.grid.diffusion.protocol: Classes and interfaces for configuration files for information diffusion protocols.
es.uam.eps.ir.relison.grid.diffusion.selection - package es.uam.eps.ir.relison.grid.diffusion.selection: Classes and interfaces for configuration files for selection mechanisms for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.sight - package es.uam.eps.ir.relison.grid.diffusion.sight: Classes and interfaces for configuration files for sight mechanisms for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.stop - package es.uam.eps.ir.relison.grid.diffusion.stop: Classes and interfaces for configuration files for stop conditions for information propagation simulations.
es.uam.eps.ir.relison.grid.diffusion.update - package es.uam.eps.ir.relison.grid.diffusion.update: Classes and interfaces for configuration files for update mechanisms for information propagation simulations.
es.uam.eps.ir.relison.grid.links.prediction.metrics - package es.uam.eps.ir.relison.grid.links.prediction.metrics: Classes and interfaces for configuration files for link prediction metrics.
es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy - package es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy: Classes and interfaces for configuration files for accuracy link prediction metrics.
es.uam.eps.ir.relison.grid.links.recommendation.algorithms - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms: Classes and interfaces for configuration files for people-to-people recommendation algorithms.
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.knn - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.knn: Classes and interfaces for configuration files for k nearest neighbors approaches.
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.baselines - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.baselines: Classes for configuring basic recommendation approaches
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.contentbased - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.contentbased: Classes for configuring content-based recommendation approaches
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf: Classes for configuring contact recommendation approaches based on friends of friends link prediction approaches.
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir: Classes for configuring IR models for contact recommendation.
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf: Classes for configuring matrix factorization recommendation approaches
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased: Classes for configuring path-based recommendation approaches
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks: Classes for configuring random-walk based recommendation approaches
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter: Classes for configuring Twitter-inspired recommendation approaches
es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised - package es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised: Classes and interfaces for configuration files for supervised contact recommendation approaches.
es.uam.eps.ir.relison.grid.links.recommendation.metrics - package es.uam.eps.ir.relison.grid.links.recommendation.metrics: Classes and interfaces for cofiguration files for evaluation metrics for contact recommendation.
es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy - package es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy: Classes and interfaces for configuration files for accuracy evaluation metrics for contact recommendation.
es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv - package es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv: Classes and interfaces for configuration files for novelty and diversity evaluation metrics for contact recommendation.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers: Classes and interfaces for configuration files for contact recommendation rerankers.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local: Classes and interfaces for configuration files for local contact recommendation rerankers.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local.communities - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local.communities: Classes and interfaces for configuration files for local contact recommendation rerankers enhacing structural properties based on communities.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge: Classes and interfaces for configuration files for global contact recommendation rerankers enhacing structural properties based on edge metrics.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph: Classes and interfaces for configuration files for global contact recommendation rerankers enhacing structural properties based on graph metrics.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree: Classes and interfaces for configuration files for global contact recommendation rerankers enhacing structural properties based on applying the Gini index over the distribution of the degree of the communities.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.sizenorm - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.degree.sizenorm: Classes and interfaces for configuration files for global contact recommendation rerankers enhacing structural properties based on applying the Gini index over the distribution of the degree of the communities (normalizing by community size).
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge: Classes and interfaces for configuration files for global contact recommendation rerankers enhacing structural properties based on applying the Gini index over the distribution of the number of edges between pairs of communities.
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm - package es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.graph.comms.gini.edge.sizenorm: Classes and interfaces for configuration files for global contact recommendation rerankers enhacing structural properties based on applying the Gini index over the distribution of the number of edges between pairs of communities (normalizing by community size).
es.uam.eps.ir.relison.grid.links.recommendation.sampling - package es.uam.eps.ir.relison.grid.links.recommendation.sampling: Classes and interfaces for configuration files for samplers that reduce the number of candidate users for generating feature vectors.
es.uam.eps.ir.relison.grid.sna - package es.uam.eps.ir.relison.grid.sna: Classes and interfaces for configuration files for social network analysis.
es.uam.eps.ir.relison.grid.sna.comm.global - package es.uam.eps.ir.relison.grid.sna.comm.global: Classes and interfaces for configuration files for social network analysis.
es.uam.eps.ir.relison.grid.sna.comm.global.gini.degree - package es.uam.eps.ir.relison.grid.sna.comm.global.gini.degree
es.uam.eps.ir.relison.grid.sna.comm.global.gini.degree.sizenormalized - package es.uam.eps.ir.relison.grid.sna.comm.global.gini.degree.sizenormalized
es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge - package es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge
es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.dice - package es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.dice
es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.sizenormalized - package es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.sizenormalized
es.uam.eps.ir.relison.grid.sna.comm.global.gini.size - package es.uam.eps.ir.relison.grid.sna.comm.global.gini.size
es.uam.eps.ir.relison.grid.sna.comm.indiv - package es.uam.eps.ir.relison.grid.sna.comm.indiv: Classes and interfaces for configuration files for social network analysis.
es.uam.eps.ir.relison.grid.sna.graph - package es.uam.eps.ir.relison.grid.sna.graph
es.uam.eps.ir.relison.grid.sna.pair - package es.uam.eps.ir.relison.grid.sna.pair
es.uam.eps.ir.relison.grid.sna.vertex - package es.uam.eps.ir.relison.grid.sna.vertex
es.uam.eps.ir.relison.index - package es.uam.eps.ir.relison.index: Definitions of indexes and relations.
es.uam.eps.ir.relison.index.fast - package es.uam.eps.ir.relison.index.fast: Fast implementation of indexes and relations.
es.uam.eps.ir.relison.io.graph - package es.uam.eps.ir.relison.io.graph: Input/Output for reading and writing graphs.
es.uam.eps.ir.relison.io.index - package es.uam.eps.ir.relison.io.index: Class definitions for reading / writing indexes from files.
es.uam.eps.ir.relison.links.data - package es.uam.eps.ir.relison.links.data: Package containing the auxiliar data structures for the recommendation.
es.uam.eps.ir.relison.links.data.letor - package es.uam.eps.ir.relison.links.data.letor: Classes and definitions for learning to rank.
es.uam.eps.ir.relison.links.data.letor.io - package es.uam.eps.ir.relison.links.data.letor.io
es.uam.eps.ir.relison.links.data.letor.sampling - package es.uam.eps.ir.relison.links.data.letor.sampling
es.uam.eps.ir.relison.links.data.ml - package es.uam.eps.ir.relison.links.data.ml
es.uam.eps.ir.relison.links.data.ml.balance - package es.uam.eps.ir.relison.links.data.ml.balance: In the context of supervised recommendation, it contains algorithms for balancing the class representation.
es.uam.eps.ir.relison.links.data.ml.features - package es.uam.eps.ir.relison.links.data.ml.features
es.uam.eps.ir.relison.links.data.ml.io - package es.uam.eps.ir.relison.links.data.ml.io
es.uam.eps.ir.relison.links.data.ml.weka - package es.uam.eps.ir.relison.links.data.ml.weka
es.uam.eps.ir.relison.links.data.updateable - package es.uam.eps.ir.relison.links.data.updateable
es.uam.eps.ir.relison.links.data.updateable.index - package es.uam.eps.ir.relison.links.data.updateable.index
es.uam.eps.ir.relison.links.data.updateable.index.fast - package es.uam.eps.ir.relison.links.data.updateable.index.fast
es.uam.eps.ir.relison.links.data.updateable.preference - package es.uam.eps.ir.relison.links.data.updateable.preference
es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable - package es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable
es.uam.eps.ir.relison.links.linkprediction - package es.uam.eps.ir.relison.links.linkprediction: Classes and interfaces for the link prediction task.
es.uam.eps.ir.relison.links.linkprediction.filter - package es.uam.eps.ir.relison.links.linkprediction.filter: Filters for aplying the link prediction to a reduced number of pairs of users.
es.uam.eps.ir.relison.links.linkprediction.io - package es.uam.eps.ir.relison.links.linkprediction.io
es.uam.eps.ir.relison.links.linkprediction.metrics - package es.uam.eps.ir.relison.links.linkprediction.metrics
es.uam.eps.ir.relison.links.linkprediction.supervised - package es.uam.eps.ir.relison.links.linkprediction.supervised
es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers - package es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers: Machine learning classifiers for addressing the contact recommendation task.
es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.exceptions - package es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.exceptions: Exceptions for supervised contact recommendation.
es.uam.eps.ir.relison.links.recommendation - package es.uam.eps.ir.relison.links.recommendation: Classes and definitions of contact recommendation algorithms.
es.uam.eps.ir.relison.links.recommendation.algorithms - package es.uam.eps.ir.relison.links.recommendation.algorithms
es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities - package es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities: Package containing the definitions for similarities between users.
es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.foaf - package es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.foaf: Package containing the definitions for similarities between users, based on friends of friends link prediction approaches.
es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir - package es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir: Package containing the definitions for similarities between users, based on information retrieval models.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic: Classes and definitions of baseline contact recommendation algorithms.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite: Contact recommendation algorithms that generate a reduced bipartite graph before computing the ranking scores.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.contentbased - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.contentbased: Content-based contact recommendation algorithms.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.distance - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.distance: Contact recommendation algorithms based on the distance between the target and the candidate users.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Classes and definitions of algorithms based on friends of friends link prediction approaches.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir: Classes and definitions of algorithms based on information retrieval (IR) models.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf: Matrix factorization algorithms for contact recommendation.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Contact recommendation algorithms based on random walks.
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter - package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter: Contact recommendation algorithms reported by Twitter to be tested in their networks.
es.uam.eps.ir.relison.links.recommendation.algorithms.supervised - package es.uam.eps.ir.relison.links.recommendation.algorithms.supervised: Supervised approaches for contact recommendation.
es.uam.eps.ir.relison.links.recommendation.features - package es.uam.eps.ir.relison.links.recommendation.features
es.uam.eps.ir.relison.links.recommendation.filler - package es.uam.eps.ir.relison.links.recommendation.filler
es.uam.eps.ir.relison.links.recommendation.metrics.accuracy - package es.uam.eps.ir.relison.links.recommendation.metrics.accuracy
es.uam.eps.ir.relison.links.recommendation.metrics.novdiv - package es.uam.eps.ir.relison.links.recommendation.metrics.novdiv
es.uam.eps.ir.relison.links.recommendation.reranking.global - package es.uam.eps.ir.relison.links.recommendation.reranking.global: Definition and implementation of reranking algorithms for enhancing global properties of the system.
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking - package es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking: Definition and implementation of reranking algorithms for enhancing global properties of the system.
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities - package es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities: Rerankers for enhancing global properties of the network related to communities.
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge - package es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge: Rerankers for enhancing global properties of the network related to edges.
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph - package es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user - package es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user: Rerankers for enhancing global properties of the network related to users.
es.uam.eps.ir.relison.links.recommendation.reranking.global.local - package es.uam.eps.ir.relison.links.recommendation.reranking.global.local: Generalizations of local rerankers, which allow processing several users in a row.
es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities - package es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities: Generalizations of local rerankers, which allow processing several users in a row.
es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge - package es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge: Generalizations of local rerankers, which allow processing several users in a row.
es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph - package es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph: Generalizations of local rerankers, which allow processing several users in a row.
es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user - package es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user: Generalizations of local rerankers, which allow processing several users in a row.
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap: Implementation of rerankers that use the swap strategy to optimize global properties.
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm: Rerankers that optimize global properties of the network related to the communities.
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.degree - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.degree
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.degree.sizenormalized - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.degree.sizenormalized
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge: Rerankers that optimize global properties of the network related to the edges.
es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph - package es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph: Rerankers that optimize global properties of the network related to the whole graph.
es.uam.eps.ir.relison.links.recommendation.reranking.local - package es.uam.eps.ir.relison.links.recommendation.reranking.local
es.uam.eps.ir.relison.links.recommendation.reranking.local.communities - package es.uam.eps.ir.relison.links.recommendation.reranking.local.communities: Rerankers that locally enhance community related metrics.
es.uam.eps.ir.relison.links.recommendation.reranking.local.edge - package es.uam.eps.ir.relison.links.recommendation.reranking.local.edge: Rerankers that locally enhacence edge related metrics.
es.uam.eps.ir.relison.links.recommendation.reranking.local.graph - package es.uam.eps.ir.relison.links.recommendation.reranking.local.graph: Rerankers that locally enhance graph metrics.
es.uam.eps.ir.relison.links.recommendation.reranking.local.user - package es.uam.eps.ir.relison.links.recommendation.reranking.local.user: Rerankers that locally enhance user metrics.
es.uam.eps.ir.relison.links.recommendation.reranking.normalizer - package es.uam.eps.ir.relison.links.recommendation.reranking.normalizer
es.uam.eps.ir.relison.links.recommendation.updateable - package es.uam.eps.ir.relison.links.recommendation.updateable
es.uam.eps.ir.relison.links.recommendation.updateable.fast - package es.uam.eps.ir.relison.links.recommendation.updateable.fast
es.uam.eps.ir.relison.links.recommendation.updateable.ir - package es.uam.eps.ir.relison.links.recommendation.updateable.ir
es.uam.eps.ir.relison.links.recommendation.updateable.knn.sim - package es.uam.eps.ir.relison.links.recommendation.updateable.knn.sim
es.uam.eps.ir.relison.links.recommendation.updateable.knn.user - package es.uam.eps.ir.relison.links.recommendation.updateable.knn.user
es.uam.eps.ir.relison.links.recommendation.updateable.mf - package es.uam.eps.ir.relison.links.recommendation.updateable.mf
es.uam.eps.ir.relison.links.recommendation.updateable.mf.als - package es.uam.eps.ir.relison.links.recommendation.updateable.mf.als
es.uam.eps.ir.relison.metrics - package es.uam.eps.ir.relison.metrics
es.uam.eps.ir.relison.metrics.complementarymetrics - package es.uam.eps.ir.relison.metrics.complementarymetrics
es.uam.eps.ir.relison.multigraph - package es.uam.eps.ir.relison.multigraph
es.uam.eps.ir.relison.sna.community - package es.uam.eps.ir.relison.sna.community: Definitions for the community structure of a network.
es.uam.eps.ir.relison.sna.community.clustering - package es.uam.eps.ir.relison.sna.community.clustering: Clustering approaches.
es.uam.eps.ir.relison.sna.community.detection - package es.uam.eps.ir.relison.sna.community.detection: Definitions for community detection algorithms.
es.uam.eps.ir.relison.sna.community.detection.connectedness - package es.uam.eps.ir.relison.sna.community.detection.connectedness: Community detection algorithm based on the connectedness of the nodes.
es.uam.eps.ir.relison.sna.community.detection.modularity - package es.uam.eps.ir.relison.sna.community.detection.modularity: Modularity-based community detection approaches.
es.uam.eps.ir.relison.sna.community.detection.modularity.balanced - package es.uam.eps.ir.relison.sna.community.detection.modularity.balanced: Community detection algorithms attempting to balance the community size.
es.uam.eps.ir.relison.sna.community.graph - package es.uam.eps.ir.relison.sna.community.graph: Generators for creating community reduced networks (nodes are the communities in the network and edges represent links between users in different communities).
es.uam.eps.ir.relison.sna.community.io - package es.uam.eps.ir.relison.sna.community.io: Classes for reading and writing community structure from files.
es.uam.eps.ir.relison.sna.metrics - package es.uam.eps.ir.relison.sna.metrics: Social network analysis metrics.
es.uam.eps.ir.relison.sna.metrics.communities.graph - package es.uam.eps.ir.relison.sna.metrics.communities.graph: Social network analysis global communities graph metrics.
es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.degree - package es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.degree
es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.degree.sizenormalized - package es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.degree.sizenormalized
es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges - package es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges: Metrics for computing the community edge Gini of the graph, i.e.
es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges.dice - package es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges.dice: Metrics for computing the Dice community edge Gini of the graph, i.e.
es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges.sizenormalized - package es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges.sizenormalized: Metrics for computing the size normalized community edge Gini of the graph, i.e.
es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.size - package es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.size
es.uam.eps.ir.relison.sna.metrics.communities.indiv - package es.uam.eps.ir.relison.sna.metrics.communities.indiv: Social network analysis individual communities graph metrics.
es.uam.eps.ir.relison.sna.metrics.complementary - package es.uam.eps.ir.relison.sna.metrics.complementary: Social network analysis metrics over the complementary graph.
es.uam.eps.ir.relison.sna.metrics.complementary.pair - package es.uam.eps.ir.relison.sna.metrics.complementary.pair: Social network analysis metrics for pairs of users on the complementary graph (independently of the fact that a link exists).
es.uam.eps.ir.relison.sna.metrics.complementary.vertex - package es.uam.eps.ir.relison.sna.metrics.complementary.vertex: Social network vertex metrics for the complementary graph.
es.uam.eps.ir.relison.sna.metrics.distance - package es.uam.eps.ir.relison.sna.metrics.distance: Distance-based metrics.
es.uam.eps.ir.relison.sna.metrics.distance.graph - package es.uam.eps.ir.relison.sna.metrics.distance.graph: Distance-based global metrics, computed for the whole graph.
es.uam.eps.ir.relison.sna.metrics.distance.modes - package es.uam.eps.ir.relison.sna.metrics.distance.modes: Configuration modes for distance-based metrics.
es.uam.eps.ir.relison.sna.metrics.distance.pair - package es.uam.eps.ir.relison.sna.metrics.distance.pair: Distance-based metrics for individual pairs of nodes in the network.
es.uam.eps.ir.relison.sna.metrics.distance.vertex - package es.uam.eps.ir.relison.sna.metrics.distance.vertex: Distance-based metrics for individual nodes in the network.
es.uam.eps.ir.relison.sna.metrics.exception - package es.uam.eps.ir.relison.sna.metrics.exception: Exception for social network analysis metrics.
es.uam.eps.ir.relison.sna.metrics.graph - package es.uam.eps.ir.relison.sna.metrics.graph: Social network analysis global metrics.
es.uam.eps.ir.relison.sna.metrics.graph.aggregate - package es.uam.eps.ir.relison.sna.metrics.graph.aggregate: Global metrics for the entire graph which have origin on individual vertex, edge or pair metrics.
es.uam.eps.ir.relison.sna.metrics.pair - package es.uam.eps.ir.relison.sna.metrics.pair: Social network analysis metrics for pairs of users (independently of the fact that a link exists).
es.uam.eps.ir.relison.sna.metrics.vertex - package es.uam.eps.ir.relison.sna.metrics.vertex: Social network analysis vertex metrics.
es.uam.eps.ir.relison.utils.datatypes - package es.uam.eps.ir.relison.utils.datatypes: Additional datatypes
es.uam.eps.ir.relison.utils.generator - package es.uam.eps.ir.relison.utils.generator: Factories for elements of different types.
es.uam.eps.ir.relison.utils.indexes - package es.uam.eps.ir.relison.utils.indexes: Generalized indexes for computing metrics.
es.uam.eps.ir.relison.utils.listcombiner - package es.uam.eps.ir.relison.utils.listcombiner: Class definitions for combining several lists.
es.uam.eps.ir.relison.utils.math - package es.uam.eps.ir.relison.utils.math: Mathematical functions and classes.
es.uam.eps.ir.relison.utils.matrix - package es.uam.eps.ir.relison.utils.matrix
es.uam.eps.relison.links.recommendation.test - package es.uam.eps.relison.links.recommendation.test
eta - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: Learning coefficient of the classifier.
evaluate() - Method in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ILD
evaluate() - Method in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ItemNoveltyMetric
evaluate() - Method in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.MeanPredictionDistance
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.metrics.accuracy.TRECAveragePrecision: Returns a score for the recommendation list.
evaluate(Graph, Prediction) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.AbstractClassificationMetric
evaluate(Graph, Prediction) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.AUC
evaluate(Graph, Prediction) - Method in interface es.uam.eps.ir.relison.links.linkprediction.metrics.LinkPredictionMetric: Evaluates a link prediction algorithm.
evaluate(Graph, Prediction, Predicate<Pair>) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.AbstractClassificationMetric
evaluate(Graph, Prediction, Predicate<Pair>) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.AUC
evaluate(Graph, Prediction, Predicate<Pair>) - Method in interface es.uam.eps.ir.relison.links.linkprediction.metrics.LinkPredictionMetric: Evaluates a link prediction algorithm.
evaluate(Graph, Prediction, Stream<Pair>) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.AbstractClassificationMetric
evaluate(Graph, Prediction, Stream<Pair>) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.AUC
evaluate(Graph, Prediction, Stream<Pair>) - Method in interface es.uam.eps.ir.relison.links.linkprediction.metrics.LinkPredictionMetric: Evaluates a link prediction algorithm.
evaluate(Prediction) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.ROCCurve: Computes the ROC curve for a prediction.
evaluate(Prediction, Predicate<Pair>) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.ROCCurve: Computes the ROC curve for a prediction.
evaluate(Prediction, Stream<Pair>) - Method in class es.uam.eps.ir.relison.links.linkprediction.metrics.ROCCurve: Computes the ROC curve for a prediction.
Evaluation - Class in es.uam.eps.ir.relison.examples.links.recommendation.evaluation: Program for applying a given reranking algorithm to the outcome of a contact recommendation algorithm.
Evaluation() - Constructor for class es.uam.eps.ir.relison.examples.links.recommendation.evaluation.Evaluation
exec - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.Infomap: Executable path.
ExpandedFOAFCountGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid for the expanded number of common neighbors of a pair of users, weighted by the number of times a neighbor appears.
ExpandedFOAFCountGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.ExpandedFOAFCountGridSearch
ExpandedFOAFGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid for the expanded number of common neighbors of a pair of users.
ExpandedFOAFGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.ExpandedFOAFGridSearch
ExpandedNeighborCountedOverlap - Class in es.uam.eps.ir.relison.sna.metrics.pair: Expanded neighbor overlap.
ExpandedNeighborCountedOverlap(boolean, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.ExpandedNeighborCountedOverlap: Constructor.
ExpandedNeighborOverlap - Class in es.uam.eps.ir.relison.sna.metrics.pair: Expanded neighbor overlap.
ExpandedNeighborOverlap(boolean, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.ExpandedNeighborOverlap: Constructor.
expdecay(long) - Method in class es.uam.eps.ir.relison.diffusion.expiration.ExponentialDecayExpirationMechanism: Computes the probability that the information piece stays in the received list.
EXPDECAY - Static variable in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationMechanismIdentifiers: Identifier of the expiration mechanism for information pieces where they have an exponential probability of decaying.
expiration - Variable in class es.uam.eps.ir.relison.diffusion.protocols.Protocol: Mechanism for discarding information pieces over time.
expiration - Variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: In case the protocol is custom, the expiration mechanism
EXPIRATION - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Identifier for the expiration mechanism
ExpirationConfigurator - Interface in es.uam.eps.ir.relison.grid.diffusion.expiration: Interface for configuring an expiration mechanism.
ExpirationMechanism - Interface in es.uam.eps.ir.relison.diffusion.expiration: Interface for checking the expiration of the information pieces.
ExpirationMechanismIdentifiers - Class in es.uam.eps.ir.relison.grid.diffusion.expiration: Identifiers for the different expiration mechanisms for information propagation protocols available in the framework.
ExpirationMechanismIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationMechanismIdentifiers
ExpirationParameterReader - Class in es.uam.eps.ir.relison.grid.diffusion.expiration: Class for reading an expiration mechanism for information diffusion.
ExpirationParameterReader() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationParameterReader
ExpirationSelector - Class in es.uam.eps.ir.relison.grid.diffusion.expiration: Class for selecting an expiration mechanism from its configuration.
ExpirationSelector() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationSelector
expire(UserState, Data<U, I, P>, int, Long) - Method in class es.uam.eps.ir.relison.diffusion.expiration.AllNotPropagatedExpirationMechanism
expire(UserState, Data<U, I, P>, int, Long) - Method in class es.uam.eps.ir.relison.diffusion.expiration.AllNotRealPropagatedExpirationMechanism
expire(UserState, Data<U, I, P>, int, Long) - Method in class es.uam.eps.ir.relison.diffusion.expiration.AllNotRealPropagatedTimestampExpirationMechanism
expire(UserState, Data<U, I, P>, int, Long) - Method in interface es.uam.eps.ir.relison.diffusion.expiration.ExpirationMechanism: Obtains the information that has expired in the current iteration.
expire(UserState, Data<U, I, P>, int, Long) - Method in class es.uam.eps.ir.relison.diffusion.expiration.ExponentialDecayExpirationMechanism
expire(UserState, Data<U, I, P>, int, Long) - Method in class es.uam.eps.ir.relison.diffusion.expiration.InfiniteTimeExpirationMechanism
expire(UserState, Data<U, I, P>, int, Long) - Method in class es.uam.eps.ir.relison.diffusion.expiration.TimedExpirationMechanism
explore(Graph, U, EdgeOrientation) - Method in class es.uam.eps.ir.relison.sna.metrics.pair.ExpandedNeighborCountedOverlap: Obtains the neighborhood at distance 2.
explore(Graph, U, EdgeOrientation) - Method in class es.uam.eps.ir.relison.sna.metrics.pair.ExpandedNeighborOverlap: Obtains the neighborhood at distance 2.
ExponentialDecayExpirationConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.expiration: Configures an expiration mechanism that increases the probability of discarding a piece over time.
ExponentialDecayExpirationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.expiration.ExponentialDecayExpirationConfigurator
ExponentialDecayExpirationMechanism - Class in es.uam.eps.ir.relison.diffusion.expiration: Expiration mechanism that increases exponentially the probability of discarding an information piece as the number of iterations since its creation increases.
ExponentialDecayExpirationMechanism(double) - Constructor for class es.uam.eps.ir.relison.diffusion.expiration.ExponentialDecayExpirationMechanism: Constructor.
externalFeats - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureIndividualRate: Stores the number of external features received.
ExternalFeatureGlobalGiniComplement - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: Metric that computes the complement of the Gini coefficient over the different features unknown to the different users.
ExternalFeatureGlobalGiniComplement(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.ExternalFeatureGlobalGiniComplement: Constructor.
ExternalFeatureGlobalGiniConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Configures a metric that measures the complement of the Gini coefficient over those features unknown by the users.
ExternalFeatureGlobalGiniConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.ExternalFeatureGlobalGiniConfigurator
ExternalFeatureGlobalRate - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: Metric that computes the rate of features received by the different users which were unknown by the receiver (we understand as external features those information features which are not present in the information pieces created by the users, or those user features different from the receiver's ones).
ExternalFeatureGlobalRate(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.ExternalFeatureGlobalRate: Constructor.
ExternalFeatureGlobalRateConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Configures a metric that measures the proportion of the received features unknown to the users (globally)
ExternalFeatureGlobalRateConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.ExternalFeatureGlobalRateConfigurator
ExternalFeatureIndividualGiniComplement - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: Computes the complement of the Gini coefficient over the distribution of the features that the user does not already know.
ExternalFeatureIndividualGiniComplement(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureIndividualGiniComplement: Constructor.
ExternalFeatureIndividualGiniComplementConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Configures a metric that measures the complement of the Gini coefficient over those features unknown by the user.
ExternalFeatureIndividualGiniComplementConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.ExternalFeatureIndividualGiniComplementConfigurator
ExternalFeatureIndividualRate - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: Computes the proportion of features that reach a user and are unknown to him/her.
ExternalFeatureIndividualRate(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureIndividualRate: Constructor.
ExternalFeatureIndividualRateConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Configures a metric that measures the proportion of the received features unknown to the users.
ExternalFeatureIndividualRateConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.ExternalFeatureIndividualRateConfigurator
ExternalFeatureRecall - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: Estimates the fraction of the unknown features of a user have been discovered thanks to the diffusion.
ExternalFeatureRecall(String, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureRecall: Constructor.
ExternalFeatureRecallConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Configures a metric that measures the fraction of the unknown features that a user has discovered.
ExternalFeatureRecallConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.ExternalFeatureRecallConfigurator
externalParams - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.ExternalFeatureGlobalRate: The number of external parameters that have reached the different users.
EXTGINI - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers: Identifier for the individual external feature Gini complement metric.
EXTPARAMRATE - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.ExternalFeatureGlobalRate: Name fixed value.
EXTPARAMRATE - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureIndividualRate: Name fixed value.
EXTRATE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers: Identifier for the individual external feature rate metric.
EXTRECALL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers: Identifier for the external feature recall metric.
ExtremeBM25Similarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir: Similarity based on the Extreme BM25 method from Information Retrieval.
ExtremeBM25Similarity(FastGraph<?>, EdgeOrientation, EdgeOrientation, EdgeOrientation, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.ExtremeBM25Similarity: Constructor.

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