P-Index

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P

P - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricIdentifiers: Identifier for the precision metric.
P - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the precision metric.
pageRank() - Method in class es.uam.eps.ir.relison.metrics.complementarymetrics.VertexMetricsTest
PageRank - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Recommends an user by her PageRank score.
PageRank - Class in es.uam.eps.ir.relison.sna.metrics.vertex: Computes the PageRank values of the different nodes in the graph.
PageRank(double) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.PageRank: Constructor (for not personalized PageRank).
PageRank(double, U) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.PageRank: Constructor (for personalized PageRank).
PageRank(FastGraph, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PageRank: Constructor.
PAGERANK - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the PageRank algorithm.
PAGERANK - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers: Identifier for the PageRank
PageRankGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks: Grid search generator for PageRank algorithm.
PageRankGridSearch - Class in es.uam.eps.ir.relison.grid.sna.vertex: Grid for the PageRank value of a node.
PageRankGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PageRankGridSearch
PageRankGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.PageRankGridSearch
PageRankHittingTime - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Implementation of the Hitting time (using the not-personalized PageRank transition matrix)
PageRankHittingTime(FastGraph, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PageRankHittingTime: Constructor.
PageRankHittingTime(FastGraph, MatrixLibrary, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PageRankHittingTime: Constructor.
Pair - Class in es.uam.eps.ir.relison.utils.datatypes: Class that represents a pair of objects of the same type.
Pair(U, U) - Constructor for class es.uam.eps.ir.relison.utils.datatypes.Pair: Constructor
PAIR_METRIC - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricTypeIdentifiers: Pair metrics.
pairGini() - Method in class es.uam.eps.ir.relison.metrics.GraphMetricsTest: Tests the pair Gini of the degrees of the graph.
pairMetric - Variable in class es.uam.eps.ir.relison.sna.metrics.graph.aggregate.AggregatePairMetric: Pair metric.
PairMetric - Interface in es.uam.eps.ir.relison.sna.metrics: Interface for node pair based metrics.
PairMetricFunction - Interface in es.uam.eps.ir.relison.grid.sna.pair: Functional interface for obtaining pair metrics.
PairMetricGridSearch - Interface in es.uam.eps.ir.relison.grid.sna.pair: Class for performing the grid search for a metric for a pair of nodes.
PairMetricIdentifiers - Class in es.uam.eps.ir.relison.grid.sna.pair: Identifiers for metrics for pairs of users in the network.
PairMetricIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers
PairMetricSelector - Class in es.uam.eps.ir.relison.grid.sna.pair: Class that translates from a grid to the different pair metrics.
PairMetricSelector() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.PairMetricSelector
PairMetricsTest - Class in es.uam.eps.ir.relison.metrics: Automated unit tests for metrics computed over pairs of users.
PairMetricsTest() - Constructor for class es.uam.eps.ir.relison.metrics.PairMetricsTest
PajekGraphReader - Class in es.uam.eps.ir.relison.io.graph: Reads a graph using the Pajek format:
PajekGraphReader(boolean, boolean, boolean, boolean, Parser) - Constructor for class es.uam.eps.ir.relison.io.graph.PajekGraphReader: Constructor
PajekGraphWriter - Class in es.uam.eps.ir.relison.io.graph: Writes the graph in the Pajek format.
PajekGraphWriter() - Constructor for class es.uam.eps.ir.relison.io.graph.PajekGraphWriter
PARAM - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.UserFeatureGiniComplementConfigurator: Identifier for the name of the feature.
parameter - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.AbstractFeatureIndividualSimulationMetric: Parameter name.
parameters - Variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterParameterReader: The set of parameters for the filter.
parameters - Variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionParameterReader: The set of parameters for the filter.
Parameters - Class in es.uam.eps.ir.relison.grid: Class for storing the configuration parameters for an algorithm, metric, etc.
Parameters() - Constructor for class es.uam.eps.ir.relison.grid.Parameters: Empty constructor.
Parameters(Map<String, Double>, Map<String, EdgeOrientation>, Map<String, String>, Map<String, Integer>, Map<String, Boolean>, Map<String, Long>, Map<String, Tuple2oo<String, Parameters>>) - Constructor for class es.uam.eps.ir.relison.grid.Parameters: Constructor.
ParametersReader - Class in es.uam.eps.ir.relison.grid: Class for reading parameters from a YAML file.
ParametersReader() - Constructor for class es.uam.eps.ir.relison.grid.ParametersReader
params - Variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: In case the protocol is preconfigured, its parameters
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationParameterReader: Identifier for the parameters
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader: Identifier for the parameters.
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationParameterReader: Identifier for the parameters
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Identifier for the parameters of the protocol
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionParameterReader: Identifier for the parameters
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.sight.SightParameterReader: Identifier for the parameters
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionParameterReader: Identifier for the set of parameters.
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateParameterReader: Identifier for the parameters
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.ParametersReader: Identifier for the parameters.
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricConfigurationsReader: Identifier for the metric type.
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricGridReader: Identifier for the metric type.
PARAMS - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricParametersReader: Identifier for the metric type.
paramValues - Variable in class es.uam.eps.ir.relison.grid.Parameters: Parameter grids for the parameters.
parentalCheck() - Method in class es.uam.eps.ir.relison.graph.tree.UnweightedTreeTest: Tests the functions that check if a node is parent or child of other node.
parse(String) - Method in interface es.uam.eps.ir.relison.content.parsing.TextParser: Given a text, parses and treats it.
parse(String) - Method in class es.uam.eps.ir.relison.content.parsing.ToLowerParser
parser - Variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterSelector: Feature parser
parser - Variable in class es.uam.eps.ir.relison.grid.diffusion.filter.InformationFeatureSelectionFilterConfigurator: Parameter parser, for parsing the tags.
parser - Variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsSelector: Parameter parser (for the filter)
parser - Variable in class es.uam.eps.ir.relison.grid.diffusion.SimulatorSelector: Parameter parser (for the filter)
parser - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.contentbased.CentroidCBGridSearch: Parser for the user identifiers.
parser - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.contentbased.TwittomenderGridSearch: Parser for the user identifiers.
parser - Variable in class es.uam.eps.ir.relison.io.index.FastIndexReader: A parser.
parser - Variable in class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceReader: Parser for obtaining the identifiers of users.
parser - Variable in class es.uam.eps.ir.relison.sna.community.io.TextCommunitiesReader: Parser for the users.
PATHS_FILE - Static variable in class es.uam.eps.ir.relison.content.index.Config: Route to the paths file
PatternReader<U,S,I> - Interface in es.uam.eps.ir.relison.links.data.ml.io: Class for reading machine learning patterns.
pc - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.QLDSimilarity: Sizes of the common neighbors.
pc - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.QLJMSimilarity: For each user, computes the proportion of neighbors it has, in comparison with the sum of all neighborhood sizes.
pc - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.QLD: For each user, computes the proportion of neighbors it has, in comparison with the sum of all neighborhood sizes.
pc - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.QLJM: For each user, computes the proportion of neighbors it has, in comparison with the sum of all neighborhood sizes.
PearsonCorrelation - Class in es.uam.eps.ir.relison.sna.metrics.graph: Class for computing the Pearson correlation of scalar values for a graph.
PearsonCorrelation(ToDoubleBiFunction<U, Graph>, ToDoubleBiFunction<U, Graph>) - Constructor for class es.uam.eps.ir.relison.sna.metrics.graph.PearsonCorrelation: Constructor
permuteRecommendation(Recommendation<U, I>, int[]) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalGreedyReranker: Given a recommendation and a permutation, builds a new recommendation with the changed order.
permuteRecommendation(Recommendation<U, I>, int[]) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapGreedyReranker: Permutes a recommendation.
PERSHITS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Personalized HITS algorithm.
PersonalizedHITS - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Personalized version of the HITS recommender.
PersonalizedHITS(FastGraph, boolean, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedHITS: Constructor
PersonalizedHITSGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks: Grid search generator for the personalized HITS algorithm.
PersonalizedHITSGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PersonalizedHITSGridSearch
PersonalizedPageRank - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Recommends an user by her personalized PageRank score.
PersonalizedPageRank(FastGraph, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedPageRank: Constructor.
PersonalizedPageRankGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks: Grid search generator for personalized PageRank algorithm.
PersonalizedPageRankGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PersonalizedPageRankGridSearch
PersonalizedPageRankHittingTime - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Implementation of the Hitting time (using the personalized PageRank transition matrix)
PersonalizedPageRankHittingTime(FastGraph, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedPageRankHittingTime: Constructor.
PersonalizedPageRankHittingTime(FastGraph, MatrixLibrary, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedPageRankHittingTime: Constructor.
PersonalizedSALSA - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: General personalized SALSA recommender.
PersonalizedSALSA(FastGraph, boolean, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedSALSA: Constructor.
PersonalizedSALSAGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks: Grid search generator for personalized SALSA algorithm.
PersonalizedSALSAGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PersonalizedSALSAGridSearch
PERSPAGERANK - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Personalized PageRank algorithm.
PERSSALSA - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Personalized SALSA algorithm.
PGC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the predicted Gini complement.
phi - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased.GlobalLHNIndex: The decay factor of the similarity.
PHI - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir.QLLGridSearch: Identifier for the trade-off between the regularization term and the original term in the Query Likelihood Laplace formula.
PHI - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased.GlobalLHNIndexGridSearch: Identifier for the decay factor of the similarity.
PIC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Pseudo-Inverse Cosine similarity algorithm.
PivotedNormalizationVSM - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir: Adaptation of the pivoted normalization vector space model (VSM).
PivotedNormalizationVSM(FastGraph, EdgeOrientation, EdgeOrientation, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.PivotedNormalizationVSM: Constructor.
PivotedNormalizationVSMGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir: Grid search generator for the PL2 Divergence from Randomness method
PivotedNormalizationVSMGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir.PivotedNormalizationVSMGridSearch
PIVOTEDVSM - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the pivoted normalization Vector Space Model algorithm.
PL2 - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir: Class that applies the PL2 Divergence from Randomness model as a contact recommendation algorithm.
PL2 - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the PL2 algorithm.
PL2(FastGraph, EdgeOrientation, EdgeOrientation, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.PL2: Constructor.
PL2(FastGraph, EdgeOrientation, EdgeOrientation, TerrierStructure, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.PL2: Constructor.
PL2GridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir: Grid search generator for the PL2 Divergence from Randomness method
PL2GridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir.PL2GridSearch
PL2Similarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir: Similarity based on the PL2 model from Information Retrieval
PL2Similarity(FastGraph<?>, EdgeOrientation, EdgeOrientation, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.PL2Similarity: Constructor.
PL2Similarity(FastGraph<?>, EdgeOrientation, EdgeOrientation, TerrierStructure, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.PL2Similarity: Constructor.
PMFFactorizerBasic<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf: Factorizer for the probabilistic matrix factorization algorithm (PMF).
PMFFactorizerBasic(double, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic: Constructor.
PMFFactorizerBasic(double, double, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic: Constructor.
PMFFactorizerBasic(double, double, double, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic
PMFFactorizerSigmoid<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf: Factorizer for the sigmoid version of the probabilistic matrix factorization algorithm (PMF).
PMFFactorizerSigmoid(double, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerSigmoid: Constructor.
PMFFactorizerSigmoid(double, double, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerSigmoid: Constructor.
PMFFactorizerSigmoid(double, double, double, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerSigmoid
pointer - Variable in class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneFreqVectorIterator: Pointer of the iterator.
POP - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Popularity-based algorithm
popularities - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.NonReciprocalPreferentialAttachment: Map for storing the popularities
popularity() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest: Popularity algorithm
Popularity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic: Popularity recommender.
Popularity(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic.Popularity: Constructor for recommendation mode.
Popularity(FastGraph, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic.Popularity: Constructor for recommendation mode.
PopularityGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.baselines: Grid search generator for Popularity algorithm.
PopularityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.baselines.PopularityGridSearch
populate(int, Instance, List<Instance>, List<FeatureType>) - Method in class es.uam.eps.ir.relison.links.data.ml.balance.SMOTEBalancer: Given an instance and its neighbours, generates a new list of instances.
populationSize - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Size of the population
populationSize - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: Size of the population
PositionalPosting - Class in es.uam.eps.ir.relison.content.index.structure.positional: Positional posting implementation.
PositionalPosting(int, long, List<Integer>) - Constructor for class es.uam.eps.ir.relison.content.index.structure.positional.PositionalPosting: Constructor.
positionPostings - Variable in class es.uam.eps.ir.relison.content.index.structure.positional.lucene.LucenePositionalPostingsIterator: Positional postings.
positionPostings - Variable in class es.uam.eps.ir.relison.content.index.structure.positional.lucene.LucenePositionalPostingsList: Posting list.
positions - Variable in class es.uam.eps.ir.relison.content.index.structure.positional.PositionalPosting: List of positions.
positions - Variable in class es.uam.eps.ir.relison.content.index.structure.positional.PositionsIterator: The position list.
PositionsIterator - Class in es.uam.eps.ir.relison.content.index.structure.positional: Iterator over a list of positions
PositionsIterator(List<Integer>) - Constructor for class es.uam.eps.ir.relison.content.index.structure.positional.PositionsIterator: Obtains a list of positions.
POSITIVECLASS - Static variable in class es.uam.eps.ir.relison.links.data.ml.MLConstants: Identifier for the positive class.
Posting - Class in es.uam.eps.ir.relison.content.index.structure: Posting in an index.
Posting(int, long) - Constructor for class es.uam.eps.ir.relison.content.index.structure.Posting: Constructor.
postings - Variable in class es.uam.eps.ir.relison.content.index.structure.lucene.LucenePostingsIterator: The posting list.
postings - Variable in class es.uam.eps.ir.relison.content.index.structure.lucene.LucenePostingsList: The posting list.
POSTINGS_FILE - Static variable in class es.uam.eps.ir.relison.content.index.Config: Route to the postings file
PostingsList - Interface in es.uam.eps.ir.relison.content.index.structure: Interface for posting lists
pr - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PageRank: The PageRank scores.
Precision - Class in es.uam.eps.ir.relison.links.linkprediction.metrics: Implementation of the precision metric for link prediction.
Precision(double) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.metrics.Precision: Constructor.
Precision(int) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.metrics.Precision: Constructor.
PrecisionConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy: Grid search generator for the precision metric.
PrecisionConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy: Grid search generator for the precision metric.
PrecisionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy.PrecisionConfigurator
PrecisionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy.PrecisionConfigurator
preconfigured - Variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Indicates if the protocol is custom or preconfigured
PRECONFIGURED - es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolType: Identifier for pre-configured diffusion protocols.
Prediction - Class in es.uam.eps.ir.relison.links.linkprediction: The result of applying a link prediction algorithm.
Prediction(List<Tuple2od<Pair>>) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.Prediction: Constructs the prediction.
PredictionGiniComplementConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv: Grid search generator for the predicted Gini complement of the recommendations.
PredictionGiniComplementConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv.PredictionGiniComplementConfigurator
PREFATTACH - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers: Identifier for the preferential attachment metric.
prefData - Variable in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller: Fast preference data.
prefData - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.fast.AbstractFastUpdateableRecommender: Fast preference data.
PreferentialAttachment - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Recommender based on the preferential attachment phenomena.
PreferentialAttachment - Class in es.uam.eps.ir.relison.sna.metrics.pair: Preferential attachment value: finds the product of the degrees of the two users.
PreferentialAttachment(EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.PreferentialAttachment: Constructor.
PreferentialAttachment(FastGraph, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.PreferentialAttachment: Constructor for recommendation mode.
PreferentialAttachment(FastGraph, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.PreferentialAttachment: Constructor for link prediction mode.
PreferentialAttachmentGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid for the preferential attachment of a pair of users.
PreferentialAttachmentGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.PreferentialAttachmentGridSearch
print(String) - Method in interface es.uam.eps.ir.relison.diffusion.metrics.distributions.Distribution: Prints the distribution into a file.
print(String) - Method in class es.uam.eps.ir.relison.diffusion.metrics.distributions.InfoPiecesDistribution
print(String) - Method in class es.uam.eps.ir.relison.diffusion.metrics.distributions.InformationFeatureDistribution
print(String) - Method in class es.uam.eps.ir.relison.diffusion.metrics.distributions.MixedFeatureDistribution
print(String) - Method in class es.uam.eps.ir.relison.diffusion.metrics.distributions.UserDistribution
print(String) - Method in class es.uam.eps.ir.relison.diffusion.metrics.distributions.UserFeatureDistribution
printAlgorithmList() - Static method in class es.uam.eps.ir.relison.grid.community.CommunityDetectionIdentifiers: Prints the list of available algorithms
printAlgorithmList() - Static method in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers: Prints the list of available algorithms
printDistribution() - Method in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader: Shows the configuration of a distribution.
printDistributionList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionIdentifiers: Prints the list of available distributions
printExpirationMechanism() - Method in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationParameterReader: Shows the configuration of a expiration mechanism.
printExpirationMechanismList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationMechanismIdentifiers: Prints the list of available algorithms
printFile(String, List<Map<String, Double>>, List<String>) - Static method in class es.uam.eps.ir.relison.examples.AuxiliarMethods: Given a list of maps with the same keys, prints the values for all the keys.
printFile(String, List<Map<String, Double>>, List<String>, int) - Static method in class es.uam.eps.ir.relison.examples.AuxiliarMethods: Given a list of maps with the same keys, prints the values for all the keys.
printFile(String, Map<String, Double>, Map<String, Double>, String, String, int) - Static method in class es.uam.eps.ir.relison.examples.AuxiliarMethods: Given two maps with the same keys, generates a new file that prints the nDCG values for both.
printFilter() - Method in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterParameterReader: Shows the configuration of a filter.
printFilterList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterIdentifiers: Prints the list of available algorithms
printGlobalMetrics(String, Map<String, Double>) - Static method in class es.uam.eps.ir.relison.examples.sna.GraphAnalyzer: Prints the global metric values into a file.
printIndividualCommMetric(String, Map<Integer, Double>) - Static method in class es.uam.eps.ir.relison.examples.sna.GraphAnalyzer: Prints the different values for an individual community metric in a file.
printIndividualMetric(String, Map<Long, Double>) - Static method in class es.uam.eps.ir.relison.examples.sna.GraphAnalyzer: Prints the different values for an individual metric in a file.
printMetric() - Method in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricParameterReader: Shows the configuration of a metric.
printMetricList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers: Prints the list of available metrics
printPairMetric(String, Map<Pair<Long>, Double>) - Static method in class es.uam.eps.ir.relison.examples.sna.GraphAnalyzer: Prints the different values for a pair/edge metric in a file.
printPartitionAlgorithmList() - Static method in class es.uam.eps.ir.relison.grid.links.recommendation.sampling.IndividualSamplingAlgorithmIdentifiers: Prints the list of available algorithms
printPropagationMechanism() - Method in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationParameterReader: Shows the configuration of a propagation mechanism.
printProtocol() - Method in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Shows the configuration of a protocol.
printProtocolList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolIdentifiers: Prints the list of available algorithms
printSelectionMechanism() - Method in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionParameterReader: Shows the configuration of a selection mechanism.
printSelectionMechanismList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationMechanismIdentifiers: Prints the list of available algorithms
printSightMechanism() - Method in class es.uam.eps.ir.relison.grid.diffusion.sight.SightParameterReader: Shows the configuration of a sight mechanism.
printSightMechanismList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.sight.SightMechanismIdentifiers: Prints the list of available algorithms
printSimulation(int) - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Obtains a string detailing the simulation parameters.
printStopCondition() - Method in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionParameterReader: Shows the configuration of a stop condition.
printStopConditionList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Prints the list of available algorithms
printUpdateMechanism() - Method in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateParameterReader: Shows the configuration of a update mechanism.
printUpdateMechanismList() - Static method in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateMechanismIdentifiers: Prints the list of available update mechanisms
priori - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: Times each class appears in the training set.
prob - Variable in class es.uam.eps.ir.relison.diffusion.selections.BatchRecommenderSelectionMechanism: Probability of choosing information to propagate that comes from recommended users.
prob - Variable in class es.uam.eps.ir.relison.diffusion.selections.IndependentCascadeModelSelectionMechanism: Uniform probability.
prob - Variable in class es.uam.eps.ir.relison.diffusion.selections.RecommenderSelectionMechanism: Probability of choosing information to propagate that comes from recommended users.
prob - Variable in class es.uam.eps.ir.relison.graph.generator.random.ErdosGenerator: Probability of joining two edges.
PROB - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PullPushRecommenderPropagationConfigurator: Identifier for the probability of selecting a recommended user.
PROB - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.IndependentCascadeModelConfigurator: Identifier for the probability of propagating.
PROB - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.BatchRecommenderSelectionConfigurator: Identifier for the probability of selecting a piece received by a recommended user.
PROB - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.IndependentCascadeModelSelectionConfigurator: Identifier for the probability of propagating a received piece.
PROB - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.RecommenderSelectionConfigurator: Identifier for the probability of selecting a piece received by a recommended user.
probRec - Variable in class es.uam.eps.ir.relison.diffusion.sight.RecommendedSightMechanism: Probability of observing a piece of information that comes from a recommended user.
PROBREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.sight.RecommendedSightConfigurator: Identifier for the probability of observing pieces of information from the recommended links
probTrain - Variable in class es.uam.eps.ir.relison.diffusion.sight.RecommendedSightMechanism: Probability of observing a piece of information that comes from a training user.
PROBTRAIN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.sight.RecommendedSightConfigurator: Identifier for the probability of observing pieces of information from training links.
ProgressiveDirectEdgeMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge: Global reranker strategy that optimizes the average value of an edge metric.
ProgressiveDirectEdgeMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.edge: Reranker that optimizes the average value of an edge metric.
ProgressiveDirectEdgeMetricReranker(double, int, Supplier<Normalizer>, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.ProgressiveDirectEdgeMetricReranker: Constructor.
ProgressiveDirectEdgeMetricReranker(double, int, Supplier<Normalizer>, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.ProgressiveDirectEdgeMetricReranker: Constructor.
ProgressiveDirectEdgeMetricReranker.ProgressiveDirectGraphMetricEdgeReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.edge: Class that reranks an individual recommendation using the value of the edge metric in the extended graph.
ProgressiveDirectGraphMetricEdgeReranker(Recommendation<U, U>, int, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.ProgressiveDirectEdgeMetricReranker.ProgressiveDirectGraphMetricEdgeReranker: Constructor.
ProgressiveDirectUserMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user: Global reranker that optimizes the average value of vertex metric.
ProgressiveDirectUserMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user: Implementation of a reranking strategy for contact recommendation that promotes the average value of some vertex metric in the resulting network.
ProgressiveDirectUserMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.user: Implementation of a reranking strategy for contact recommendation that promotes the average value of some vertex metric in the resulting network.
ProgressiveDirectUserMetricReranker(double, int, Supplier<Normalizer>, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user.ProgressiveDirectUserMetricReranker: Constructor.
ProgressiveDirectUserMetricReranker(double, int, Supplier<Normalizer>, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user.ProgressiveDirectUserMetricReranker: Constructor.
ProgressiveDirectUserMetricReranker(double, int, Supplier<Normalizer>, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.ProgressiveDirectUserMetricReranker: Constructor.
ProgressiveDirectUserMetricReranker.ProgressiveDirectUserMetricUserReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.user: The class for generating the reranking.
ProgressiveDirectUserMetricUserReranker(Recommendation<U, U>, int, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.ProgressiveDirectUserMetricReranker.ProgressiveDirectUserMetricUserReranker: Constructor.
ProgressiveInverseEdgeMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge: Reranker strategy that minimizes the average value of an edge metric.
ProgressiveInverseEdgeMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.edge: Reranker that minimizes the average value of an edge metric.
ProgressiveInverseEdgeMetricReranker(double, int, Supplier<Normalizer>, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.ProgressiveInverseEdgeMetricReranker: Constructor.
ProgressiveInverseEdgeMetricReranker(double, int, Supplier<Normalizer>, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.ProgressiveInverseEdgeMetricReranker: Constructor.
ProgressiveInverseEdgeMetricReranker.ProgressiveInverseGraphMetricEdgeReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.edge: Class that reranks an individual recommendation using the edge metric value in the extended graph (adding all the previous edges).
ProgressiveInverseGraphMetricEdgeReranker(Recommendation<U, U>, int, Graph, PairMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.ProgressiveInverseEdgeMetricReranker.ProgressiveInverseGraphMetricEdgeReranker: Constructor.
ProgressiveInverseUserMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user: Global reranker that minimizes the average value of vertex metric.
ProgressiveInverseUserMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user: Implementation of a reranking strategy for contact recommendation that minimizes the average value of some vertex metric in the resulting network.
ProgressiveInverseUserMetricReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.user: Implementation of a reranking strategy for contact recommendation that demotes the average value of some vertex metric in the resulting network.
ProgressiveInverseUserMetricReranker(double, int, Supplier<Normalizer>, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user.ProgressiveInverseUserMetricReranker: Constructor.
ProgressiveInverseUserMetricReranker(double, int, Supplier<Normalizer>, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user.ProgressiveInverseUserMetricReranker: Constructor.
ProgressiveInverseUserMetricReranker(double, int, Supplier<Normalizer>, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.ProgressiveInverseUserMetricReranker: Constructor.
ProgressiveInverseUserMetricReranker.ProgressiveInverseUserMetricUserReranker - Class in es.uam.eps.ir.relison.links.recommendation.reranking.local.user: The class for generating the reranking.
ProgressiveInverseUserMetricUserReranker(Recommendation<U, U>, int, Graph, VertexMetric) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.ProgressiveInverseUserMetricReranker.ProgressiveInverseUserMetricUserReranker: Constructor.
promote - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractHeuristicNeighborOverlapReranker: True if we want edges with greater embeddedness, false if we want edges with smaller embeddedness (more weakness)
promote - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractNeighborOverlapReranker: True if we want edges with greater embeddedness, false if we want edges with smaller embeddedness (more weakness)
promote - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker: Indicates if the metric has to be promoted or its complement has to be promoted.
prop - Variable in class es.uam.eps.ir.relison.diffusion.protocols.Protocol: Mechanism for selecting the users we want to propagate the information.
PROP - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.informationpieces.global.RealPropagatedGlobalRecall: Name fixed value.
PROP - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.informationpieces.individual.RealPropagatedRecall: Name fixed value.
PROPAGATED - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.TotalPropagatedStopConditionConfigurator: Identifier for the number of information pieces to propagate before stopping.
propagatedByTS - Variable in class es.uam.eps.ir.relison.diffusion.data.Data: Relation between the timestamps and the pieces propagated by each user.
propagatedInfo - Variable in class es.uam.eps.ir.relison.diffusion.data.FastUser: Map that contains the information propagated by this user.
PropagatedInformation - Class in es.uam.eps.ir.relison.diffusion.data: Class that represents the propagated information in a simulation.
PropagatedInformation(Integer, long, int) - Constructor for class es.uam.eps.ir.relison.diffusion.data.PropagatedInformation: Propagated information constructor.
PropagatedInformation(Integer, long, int[]) - Constructor for class es.uam.eps.ir.relison.diffusion.data.PropagatedInformation: Constructor.
PropagatedInformation(Integer, long, Collection<Integer>) - Constructor for class es.uam.eps.ir.relison.diffusion.data.PropagatedInformation: Constructor.
propagatedPieces - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: The set of propagated pieces by each user.
propagateSelection - Variable in class es.uam.eps.ir.relison.diffusion.selections.Selection: Selection of received information pieces to propagate
propagation - Variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: In case the protocol is custom, the propagation mechanism
PROPAGATION - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Identifier for the propagation mechanism
PropagationConfigurator - Interface in es.uam.eps.ir.relison.grid.diffusion.propagation: Interface for configuring propagation mechanisms.
propagationList - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPropagationMechanism: For each user, the list of users that user will propagate the information to.
propagationList - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPureRecommenderPropagationMechanism: For each user, the list of users that user will propagate the information to.
propagationList - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyRecommenderPropagationMechanism: For each user, the list of users that user will propagate the information to.
propagationList - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullStrategyPropagationMechanism: For each user, the list of users that user will propagate the information to.
propagationList - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PushStrategyPropagationMechanism: For each user, the list of users that user will propagate the information to.
PropagationMechanism - Interface in es.uam.eps.ir.relison.diffusion.propagation: Mechanism for selecting the set of users towards whom each user in the network propagates his/her information pieces.
PropagationMechanismIdentifiers - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Identifiers for the different propagation mechanisms for information diffusion protocols available in the framework.
PropagationMechanismIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationMechanismIdentifiers
PropagationParameterReader - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Class for reading an propagation mechanism for information diffusion.
PropagationParameterReader() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationParameterReader
PropagationSelector - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Class for selecting a propagation mechanism from its configuration.
PropagationSelector() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationSelector
PropFlow - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Recommender which uses the PropFlow algorithm.
PropFlow(FastGraph, int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PropFlow: Constructor.
PROPFLOW - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the PropFlow algorithm.
PropFlowGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks: Grid search generator for PropFlow algorithm.
PropFlowGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PropFlowGridSearch
PROPORTIONTHRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting to propagate pieces which have been received from more than a proportion of users who send him content.
ProportionThresholdModelConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Configures a protocol in which propagates the received information if a large enough fraction of neighbors send the same piece to him/her.
ProportionThresholdModelConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.ProportionThresholdModelConfigurator
ProportionThresholdModelProtocol - Class in es.uam.eps.ir.relison.diffusion.protocols: Threshold model protocol.
ProportionThresholdModelProtocol(int, int, double) - Constructor for class es.uam.eps.ir.relison.diffusion.protocols.ProportionThresholdModelProtocol: Constructor.
ProportionThresholdSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a selection mechanism that propagates a fixed number of own information pieces, and repropagates pieces which have been received from (at least) a given proportion of the user neighbors.
ProportionThresholdSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.ProportionThresholdSelectionConfigurator
ProportionThresholdSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism that only propagates those received pieces which have been received (at least) a fixed number of times.
ProportionThresholdSelectionMechanism(int, double, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.ProportionThresholdSelectionMechanism: Constructor.
ProportionThresholdSelectionMechanism(int, double, EdgeOrientation, int) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.ProportionThresholdSelectionMechanism
protocol - Variable in class es.uam.eps.ir.relison.diffusion.simulation.Simulator: Communication protocol.
Protocol - Class in es.uam.eps.ir.relison.diffusion.protocols: Information propagation protocol.
Protocol(SelectionMechanism<U, I, F>, ExpirationMechanism<U, I, F>, UpdateMechanism, PropagationMechanism<U, I, F>, SightMechanism<U, I, F>) - Constructor for class es.uam.eps.ir.relison.diffusion.protocols.Protocol: Constructor.
PROTOCOL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Identifier for the protocol
ProtocolConfigurator - Interface in es.uam.eps.ir.relison.grid.diffusion.protocol: Interface for configuring protocols for information diffusion, given their properties.
ProtocolIdentifiers - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Identifiers for the different preconfigured propagation protocols which are available in the library.
ProtocolIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolIdentifiers
ProtocolParameterReader - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Reads the parameters for diffusion protocols.
ProtocolParameterReader() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader
protocolParams - Variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Parameters for the different simulations.
ProtocolSelector - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Class for selecting a suitable information diffusion protocol from its configuration.
ProtocolSelector() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolSelector
ProtocolType - Enum in es.uam.eps.ir.relison.grid.diffusion.protocol: Enumeration describing the possible names for the information propagation protocols.
ProtocolType() - Constructor for enum es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolType
PseudoInverseCosine - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased: Implementation of the pseudo inverse cosine algorithm for contact recommendation.
PseudoInverseCosine(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased.PseudoInverseCosine: Constructor.
PseudoInverseCosine(FastGraph, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased.PseudoInverseCosine: Constructor.
PseudoInverseCosineGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased: Grid search generator for pseudo-inverse cosine algorithm.
PseudoInverseCosineGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased.PseudoInverseCosineGridSearch
PULL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationMechanismIdentifiers: Identifier for the propagation mechanism related to the pull protocol.
PULL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolIdentifiers: Identifier for the Pull protocol.
PullModelConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Configures the pull model protocol.
PullModelConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.PullModelConfigurator
PullModelProtocol - Class in es.uam.eps.ir.relison.diffusion.protocols: Protocol that applies the push strategy for diffunding the information.
PullModelProtocol(int, int, int) - Constructor for class es.uam.eps.ir.relison.diffusion.protocols.PullModelProtocol: Constructor.
PullPropagationConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Configures a pull propagation mechanism.
PullPropagationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PullPropagationConfigurator
PullPushPropagationConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Configures a push-pull propagation mechanism.
PullPushPropagationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PullPushPropagationConfigurator
PullPushPureRecommenderPropagationConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Configures a push-pull propagation mechanism.
PullPushPureRecommenderPropagationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PullPushPureRecommenderPropagationConfigurator
PullPushRecommenderPropagationConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Configures a push-pull propagation mechanism.
PullPushRecommenderPropagationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PullPushRecommenderPropagationConfigurator
PullPushSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a pure push-pull selection mechanism, where all the previously known information by the users is propagated.
PullPushSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.PullPushSelectionConfigurator
PullPushSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism following the original one proposed by the push, pull and push-pull models: all the known information (i.e.
PullPushSelectionMechanism(int) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.PullPushSelectionMechanism: Constructor.
PullPushStrategyPropagationMechanism - Class in es.uam.eps.ir.relison.diffusion.propagation: Propagation mechanism for the so-called rumour spreading propagation mechanism.
PullPushStrategyPropagationMechanism(int) - Constructor for class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPropagationMechanism: Constructor.
PullPushStrategyPropagationMechanism(int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPropagationMechanism: Constructor.
PullPushStrategyPureRecommenderPropagationMechanism - Class in es.uam.eps.ir.relison.diffusion.propagation: Propagation mechanism for the so-called rumour spreading propagation mechanism.
PullPushStrategyPureRecommenderPropagationMechanism(int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPureRecommenderPropagationMechanism: Constructor.
PullPushStrategyRecommenderPropagationMechanism - Class in es.uam.eps.ir.relison.diffusion.propagation: Propagation mechanism for the so-called rumour spreading propagation mechanism.
PullPushStrategyRecommenderPropagationMechanism(int, double) - Constructor for class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyRecommenderPropagationMechanism: Constructor.
PullPushStrategyRecommenderPropagationMechanism(int, EdgeOrientation, double) - Constructor for class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyRecommenderPropagationMechanism: Constructor.
PullStrategyPropagationMechanism - Class in es.uam.eps.ir.relison.diffusion.propagation: Propagation mechanism that follows the pull strategy propagation mechanism.
PullStrategyPropagationMechanism(int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.propagation.PullStrategyPropagationMechanism: Constructor.
PURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.TemporalConfigurator: Identifier for the parameter that indicates if received pieces can be propagated after the true timestamp moment (false) or not (true).
PurePersonalizedPageRank - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk: Recommender algorithm based in a modified Personalized PageRank.
PurePersonalizedPageRank(FastGraph, double, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PurePersonalizedPageRank: Constructor
PUREREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting pieces of information to propagate which come from the recommended links.
PURERECBATCH - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting pieces of information to propagate either from the recommended links or from the original links (chosen with a probability)
PureRecommenderSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a selection mechanism that propagates a fixed number of own information pieces, and repropagates pieces which have been received through recommended links.
PureRecommenderSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.PureRecommenderSelectionConfigurator
PureRecommenderSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selects information pieces to propagate depending on the original users and whether they have been propagated through recommended links.
PureRecommenderSelectionMechanism(int, int, int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.PureRecommenderSelectionMechanism: Constructor.
PureRecommenderSelectionMechanism(int, int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.PureRecommenderSelectionMechanism: Constructor.
PURETIMESTAMP - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting pieces to propagate according to timestamp, which cannot re-propagate received pieces at a later time than originally.
PureTimestampBasedSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a selection mechanism that only propagates and repropagates information when the timestamp of the simulation corresponds to the real one.
PureTimestampBasedSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.PureTimestampBasedSelectionConfigurator
PureTimestampBasedSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism that takes the real timestamps of the users into account.
PureTimestampBasedSelectionMechanism() - Constructor for class es.uam.eps.ir.relison.diffusion.selections.PureTimestampBasedSelectionMechanism
PUSH - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationMechanismIdentifiers: Identifier for the propagation mechanism related to the push protocol.
PUSH - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolIdentifiers: Identifier for the Push protocol.
PushModelConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Configures the push model protocol.
PushModelConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.PushModelConfigurator
PushModelProtocol - Class in es.uam.eps.ir.relison.diffusion.protocols: Model that applies the push strategy for diffunding the information.
PushModelProtocol(int, int, int) - Constructor for class es.uam.eps.ir.relison.diffusion.protocols.PushModelProtocol: Constructor.
PushPropagationConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.propagation: Configures a push propagation mechanism.
PushPropagationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.propagation.PushPropagationConfigurator
PUSHPULL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationMechanismIdentifiers: Identifier for the propagation mechanism related to the push-pull protocol.
PUSHPULL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting all the information the users know to propagate and a fixed number of their own pieces.
PUSHPULLPUREREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationMechanismIdentifiers: Identifier for the propagation mechanism related to the push-pull protocol, to use only recommended links.
PUSHPULLREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationMechanismIdentifiers: Identifier for the propagation mechanism related to the push-pull protocol, prioritizing recommended links.
PushStrategyPropagationMechanism - Class in es.uam.eps.ir.relison.diffusion.propagation: Propagation mechanism that follows the push strategy propagation mechanism.
PushStrategyPropagationMechanism(int, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.propagation.PushStrategyPropagationMechanism: Constructor.
pvalues - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.AbstractFeatureGlobalKLDivergence: The distribution we are trying to approximate.
pvalues - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.AbstractFeatureKLDivergence: The distribution we are trying to approximate.

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