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MachineLearningRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.supervised: Contact recommendation algorithm that uses supervised classification techniques to generate the recommendation.
MachineLearningRecommender(FastGraph, Classifier, InstanceSet, InstanceSet) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.MachineLearningRecommender: Constructor
MachineLearningWekaRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.supervised: Contact recommendation algorithm that uses supervised classification techniques to generate the recommendation.
MachineLearningWekaRecommender(FastGraph, Classifier, String, String, String, Parser) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.MachineLearningWekaRecommender: Constructor.
MachineLearningWekaRecommender(FastGraph, Classifier, String, String, Parser) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.MachineLearningWekaRecommender: Constructor.
MachineLearningWekaRecommender(FastGraph, Classifier, Instances, Instances, Map<Pair, Integer>, FastVector) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.MachineLearningWekaRecommender: Constructor
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.content.InformationPieceIndexGenerator: Generates a content index.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.content.UserIndexGenerator: Program for generating a content index.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.diffusion.Diffusion: Executes the information diffusion through a social network.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.diffusion.DiffusionEvaluation: Evaluates a group of simulations
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.graphgen.RandomGraphGenerator: Program that generates a random network.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.prediction.LinkPrediction: Program for recommending and evaluating contact recommendation approaches.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.AblationExperimentExample: Executes the learning to rank experiment.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.evaluation.Evaluation: Generates rerankers.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.evaluation.GraphMetricsEvaluation: Program which analyzes the different properties of a graph.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.evaluation.StatisticalSignificance: Computes the p-values of different recommendations in terms of the precision, and writes them to a file.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.evaluation.TukeyTestFileGenerator: Computes the p-values of different recommendations in terms of the precision, and writes them to a file.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.MLFeatureGenerator: Builds a set of learning to rank instances using similarities between pairs of users.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.Recommendation: Program for recommending and evaluating contact recommendation approaches.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.Reranking: Generates rerankers.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.sna.CommunityDetector: Computes a community partition for several algorithms.
main(String[]) - Static method in class es.uam.eps.ir.relison.examples.sna.GraphAnalyzer: Program which analyzes the different properties of a graph.
main(String[]) - Static method in class es.uam.eps.ir.relison.Main: Main method.
Main - Class in es.uam.eps.ir.relison: Class for applying the main methods to the executions.
Main() - Constructor for class es.uam.eps.ir.relison.Main
mainsum - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureGiniComplement: Main sum for the Gini coefficient.
mainsum - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Main sum for the Gini coefficient
map - Variable in class es.uam.eps.ir.relison.content.index.lucene.LuceneBuilder: Map storing the relation between docids and contents.
map - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalRandomReranker: A map containing the random scores for the different user-item pairs.
map - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker: Map that contains the positions of the nodes in the degrees list.
map - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.RanksimNormalizer: A mapping between item id and ranking position.
MAP - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the mean average precision metric (MAP)
MAPConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy: Grid search generator for the mean average precision (MAP) metric.
MAPConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy.MAPConfigurator
MathFunctions - Class in es.uam.eps.ir.relison.utils.math: Mathematical functions.
MathFunctions() - Constructor for class es.uam.eps.ir.relison.utils.math.MathFunctions
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.GlobalMatrixBasedRecommender: The matrix.
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PageRankHittingTime: The hitting time matrix.
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.InterCommunityEdgeGiniComplement: A matrix representing the number of edges between each pair of communities.
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities.InterCommunityEdgeGiniComplement: Number of edges between communities
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedCompleteCommunityEdgeGiniComplement: Number of links between communities.
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedInterCommunityEdgeGiniComplement: Number of edges between communities
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedSemiCompleteCommunityEdgeGiniComplement: Number of edges between communities
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.InterCommunityEdgeGiniComplement.CommPairGiniUserReranker: the number of edges between each pair of communities.
matrix - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.InterCommunityEdgeGiniComplement: the number of edges between each pair of communities.
MatrixBasedRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms: Abstract implementation of a contact recommendation algorithm that depends on matrix operations.
MatrixBasedRecommender(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.MatrixBasedRecommender: Default constructor.
MatrixBasedRecommender(FastGraph, MatrixLibrary) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.MatrixBasedRecommender: Constructor.
MatrixBasedVertexMetric - Class in es.uam.eps.ir.relison.sna.metrics.vertex: Vertex metric based on matrices.
MatrixBasedVertexMetric() - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.MatrixBasedVertexMetric: Default constructor.
MatrixBasedVertexMetric(MatrixLibrary) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.MatrixBasedVertexMetric: Constructor.
MatrixChecker - Class in es.uam.eps.ir.relison.utils.matrix: Checks whether we can use the JBLAS library, or we have to use the COLT one to perform matrix-based recommendations.
MatrixChecker() - Constructor for class es.uam.eps.ir.relison.utils.matrix.MatrixChecker
MatrixForest - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased: Implementation of the matrix forest algorithm for contact recommendation.
MatrixForest(FastGraph, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased.MatrixForest: Constructor.
MatrixForest(FastGraph, double, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.pathbased.MatrixForest: Constructor.
MATRIXFOREST - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Matrix Forest algorithm.
MatrixForestGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased: Grid search generator for Matrix Forest algorithm.
MatrixForestGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.pathbased.MatrixForestGridSearch
MatrixLibrary - Enum in es.uam.eps.ir.relison.utils.matrix: Enumeration for identifying the matrix libraries.
MatrixLibrary() - Constructor for enum es.uam.eps.ir.relison.utils.matrix.MatrixLibrary
MAX - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.MaxTimestampStopConditionConfigurator: Identifier for the value of the maximum timestamp to consider.
maxEpochs - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: Maximum number of iterations which the algorithm will run during training.
maximum - Variable in class es.uam.eps.ir.relison.diffusion.metrics.informationpieces.global.RealPropagatedGlobalRecall: Number of currently propagated.
maximum - Variable in class es.uam.eps.ir.relison.diffusion.metrics.informationpieces.individual.RealPropagatedRecall: Number of currently propagated.
MaximumCosineSimilarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite: Recommender.
MaximumCosineSimilarity(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.MaximumCosineSimilarity: Constructor.
maximumPos - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureGiniComplement: Auxiliar map for computing Gini coefficient (contains the maximum position for each frequency).
maximumPos - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Auxiliar map for computing Gini coefficient (contains the maximum position for each frequency)
maxItemScore - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker: Item that achieves the maximum score and its value.
MAXITER - Static variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PurePersonalizedPageRank: Maximum number of iterations.
MAXITER - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.vertex.ComplementaryPageRank: Maximum number of iterations.
MAXITER - Variable in class es.uam.eps.ir.relison.sna.metrics.vertex.HITS: Maximum number of iterations.
MAXITER - Variable in class es.uam.eps.ir.relison.sna.metrics.vertex.PageRank: Maximum number of iterations
maxLength - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PropFlow: Maximum distance from the target node (maximum length of the random walk).
MAXLENGTH - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PropFlowGridSearch: Identifier for the teleport parameter
maxPerIndiv - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Maximum frequency for each individual (maximum income of an individual)
maxs - Variable in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: The maximum indexes for the different possible frequencies values.
maxScore - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker: Maximum score of an item.
maxSizePerIndiv - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: Maximum income per individual.
maxTime - Variable in class es.uam.eps.ir.relison.diffusion.expiration.TimedExpirationMechanism: Time before expiration.
MAXTIME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.expiration.TimedExpirationConfigurator: Identifier for the maximum time before expiration of an information piece.
MAXTIME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Identifier for stopping simulation when a maximum timestamp is reached.
maxTimestamp - Variable in class es.uam.eps.ir.relison.diffusion.stop.MaxTimestampStopCondition: Maximum possible timestamp.
MaxTimestampStopCondition - Class in es.uam.eps.ir.relison.diffusion.stop: Stop condition that determines a maximum possible timestamp for the execution.
MaxTimestampStopCondition(long) - Constructor for class es.uam.eps.ir.relison.diffusion.stop.MaxTimestampStopCondition: Constructor.
MaxTimestampStopConditionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.stop: Configures a stop condition that establishes a maximum timestamp value.
MaxTimestampStopConditionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.stop.MaxTimestampStopConditionConfigurator
maxUser - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker: User that achieves the maximum value.
maxValue() - Method in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: Returns the maximum value for the Gini coefficient and the current configuration.
mcList - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: A list containing the different distributions for the Gini
mcn() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest: MCN algorithm
MCN - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Most Common Neighbors (MCN) algorithm.
MEAN - Static variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: Constant index for the mean.
meanDegree - Variable in class es.uam.eps.ir.relison.graph.generator.random.WattsStrogatzGenerator: Average degree of the graph.
MeanPredictionDistance - Class in es.uam.eps.ir.relison.links.recommendation.metrics.novdiv: Metric that finds the harmonic mean of the reciprocal distances between the different target user - candidate user pairs of the recommendation.
MeanPredictionDistance(Graph, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.MeanPredictionDistance: Constructor.
MeanPredictionDistance(Graph, DistanceCalculator, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.MeanPredictionDistance: Constructor.
MeanPredictionDistanceConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv: Grid search generator for the mean prediction distance of the recommendations.
MeanPredictionDistanceConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.novdiv.MeanPredictionDistanceConfigurator
mergeAndIntersectLists(Iterator<T>, Iterator<T>, Comparator<T>, BiFunction<T, T, T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the union and intersection of two ordered streams/lists, represented by iterators, preserving the order.
mergeAndIntersectLists(List<T>, List<T>, Comparator<T>, BiFunction<T, T, T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the union and intersection of two ordered lists, preserving the order.
mergeAndIntersectLists(Stream<T>, Stream<T>, Comparator<T>, BiFunction<T, T, T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the union and intersection of two ordered streams, preserving the order.
mergeAndIntersectListsSize(Iterator<T>, Iterator<T>, Comparator<T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the union and intersection of two ordered streams/lists, represented by iterators, preserving the order.
mergeAndIntersectListsSize(List<T>, List<T>, Comparator<T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the union and intersection of two ordered lists, preserving the order.
mergeAndIntersectListsSize(Stream<T>, Stream<T>, Comparator<T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the union and intersection of two ordered streams, preserving the order.
mergeLists(Iterator<T>, Iterator<T>, Comparator<T>, BiFunction<T, T, T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Merges two ordered lists/streams, represented by iterators, so that the order is preserved.
mergeLists(List<T>, List<T>, Comparator<T>, BiFunction<T, T, T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Merges two ordered lists, so that the order is preserved.
mergeLists(Stream<T>, Stream<T>, Comparator<T>, BiFunction<T, T, T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Merges two ordered streams, so that the order is preserved.
mergeListsSize(Iterator<T>, Iterator<T>, Comparator<T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the size of the union of two ordered lists/streams, represented by iterators.
mergeListsSize(List<T>, List<T>, Comparator<T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the size of the union of two ordered lists.
mergeListsSize(Stream<T>, Stream<T>, Comparator<T>) - Static method in class es.uam.eps.ir.relison.utils.listcombiner.OrderedListCombiner: Finds the size of the union of two ordered streams.
MERGER - Static variable in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateMechanismIdentifiers: Identifier for the update mechanism that merges the newest and the oldest piece of information.
MergerUpdateConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.update: Configures an update mechanism that updates the information in the newest piece with the older ones.
MergerUpdateConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.update.MergerUpdateConfigurator
MergerUpdateMechanism - Class in es.uam.eps.ir.relison.diffusion.update: Updates the previously received elements with information obtained from the new ones.
MergerUpdateMechanism() - Constructor for class es.uam.eps.ir.relison.diffusion.update.MergerUpdateMechanism
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge.EdgeMetricReranker: The selected metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph.GraphMetricReranker: The selected metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user.UserMetricReranker: The selected metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.EdgeMetricReranker: The selected metric.
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph.GraphMetricReranker: The selected metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user.UserMetricReranker: The selected metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.EdgeMetricReranker.GraphMetricEdgeReranker: The pair metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.EdgeMetricReranker: The selected metric.
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.GraphMetricReranker.GraphMetricUserReranker: The graph metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.GraphMetricReranker: The selected metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.UserMetricReranker: The selected metric
metric - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.UserMetricReranker.UserMetricUserReranker: The metric to optimize.
metric - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.ComplementaryCommunityMetric: The metric to find on the complementary graph
metric - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.ComplementaryGraphMetric: The metric to find on the complementary graph.
metric - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.ComplementaryIndividualCommunityMetric: The metric to find on the complementary graph.
metric - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.ComplementaryPairMetric: The metric to find on the complementary graph.
metric - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.ComplementaryVertexMetric: The metric to find on the complementary graph.
MetricConfigurationsReader - Class in es.uam.eps.ir.relison.grid.sna: Class for reading social network analysis metrics.
MetricConfigurationsReader() - Constructor for class es.uam.eps.ir.relison.grid.sna.MetricConfigurationsReader: Constructor.
MetricConfigurator - Interface in es.uam.eps.ir.relison.grid.diffusion.metrics: Interface for the configuration of an information diffusion metric.
metricConfs - Variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricConfigurationsReader: Map for storing the different configurations of a metric.
metricConfs - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricConfigurationsReader: Map for storing the different configurations of a metric.
MetricGridReader - Class in es.uam.eps.ir.relison.grid.sna: Class for reading social network analysis metrics.
MetricGridReader() - Constructor for class es.uam.eps.ir.relison.grid.sna.MetricGridReader: Constructor.
MetricIdentifiers - Class in es.uam.eps.ir.relison.grid.diffusion.metrics: The list of identifiers for the information diffusion metrics available.
MetricIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers
MetricParameterReader - Class in es.uam.eps.ir.relison.grid.diffusion.metrics: Class for reading the parameters for a diffusion metric.
MetricParameterReader() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricParameterReader
MetricParametersReader - Class in es.uam.eps.ir.relison.grid.sna: Class for reading social network analysis metrics.
MetricParametersReader() - Constructor for class es.uam.eps.ir.relison.grid.sna.MetricParametersReader: Constructor.
metricParams - Variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Parameters for the different metrics to compute.
METRICS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Identifier for the metrics list.
METRICS - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricConfigurationsReader
METRICS - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricGridReader
METRICS - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricParametersReader
METRICS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricConfigurationsReader
METRICS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricGridReader
METRICS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricParametersReader
METRICS - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricConfigurationsReader: Identifier for the metrics.
METRICS - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricGridReader: Identifier for the metrics.
METRICS - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricParametersReader: Identifier for the metrics.
MetricSelector - Class in es.uam.eps.ir.relison.grid.diffusion.metrics: Class for selecting an individual diffusion metric.
MetricSelector() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricSelector
metricsGrid - Variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricGridReader: Metrics grid.
metricsGrid - Variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricParametersReader: Metric parameters.
metricsGrid - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricGridReader: Metrics grid.
metricsGrid - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricParametersReader: Metric parameters.
metricsGrid - Variable in class es.uam.eps.ir.relison.grid.sna.MetricConfigurationsReader: A map containing the different configurations for each metric.
metricsGrid - Variable in class es.uam.eps.ir.relison.grid.sna.MetricGridReader: A map containing the different configurations for each metric.
metricsGrid - Variable in class es.uam.eps.ir.relison.grid.sna.MetricParametersReader: A map containing the different configurations for each metric.
MetricTypeIdentifiers - Class in es.uam.eps.ir.relison.grid.sna: Identifiers for the different metric types.
MetricTypeIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.sna.MetricTypeIdentifiers
MFGraphUpdateableRecommender - Class in es.uam.eps.ir.relison.links.recommendation.updateable.mf: Matrix factorization recommender.
MFGraphUpdateableRecommender(FastUpdateablePreferenceData<U, U>, UpdateableFactorization<U, U>, UpdateableFactorizer<U, U>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.updateable.mf.MFGraphUpdateableRecommender: Constructor.
MFUpdateableRecommender<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.updateable.mf: Matrix factorization recommender.
MFUpdateableRecommender(FastUpdateablePreferenceData<U, I>, UpdateableFactorization<U, I>, UpdateableFactorizer<U, I>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.updateable.mf.MFUpdateableRecommender: Constructor.
MinimumFrequencyInformationFeatureFilter - Class in es.uam.eps.ir.relison.diffusion.data.filter: Filter that removes any information feature that appears less than a fixed number of times (i.e.
MinimumFrequencyInformationFeatureFilter(long, String) - Constructor for class es.uam.eps.ir.relison.diffusion.data.filter.MinimumFrequencyInformationFeatureFilter: Constructor.
MinimumFrequencyInformationFeatureFilterConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.filter: Class for configuring a filter which keeps only the information pieces feature available, at least, in a minimum number of information pieces.
MinimumFrequencyInformationFeatureFilterConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.MinimumFrequencyInformationFeatureFilterConfigurator
minimumPieces - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.MinimumFrequencyInformationFeatureFilter: The minimum number of tags.
MINIMUMPIECES - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterIdentifiers: Identifier for the filter which removes those information features appearing less than a fixed number of times.
minimumPos - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureGiniComplement: Auxiliar map for computing Gini coefficient (contains the minimum position for each frequency).
minimumPos - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Auxiliar map for computing Gini coefficient (contains the minimum position for each frequency)
minmax() - Static method in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.Normalizers: Obtains a normalizer that normalizes according to the maximum and minimum values in the scores.
MinMaxNormalizer - Class in es.uam.eps.ir.relison.links.recommendation.reranking.normalizer: Min-max normalizer.
MinMaxNormalizer() - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.MinMaxNormalizer
mins - Variable in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: The minimum indexes for the different possible frequency values.
minValue() - Method in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: Returns the minimum value for the Gini coefficient and the current configuration.
MINVALUE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.MinimumFrequencyInformationFeatureFilterConfigurator: Identifier for the minimum number of pieces which have to use the tag.
MIXEDFEATS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionIdentifiers: Identifiers for the mixed features.
MixedFeatureDistribution - Class in es.uam.eps.ir.relison.diffusion.metrics.distributions: Distribution combining user and information pieces features.
MixedFeatureDistribution(String, String) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.distributions.MixedFeatureDistribution: Constructor.
MixedParamDistributionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.distributions: Class for configuring a distribution of two mixed parameters (one from information pieces, and other from users).
MixedParamDistributionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.MixedParamDistributionConfigurator
MLComparators - Class in es.uam.eps.ir.relison.links.linkprediction: Comparators for ordering the link prediction algorithms.
MLComparators() - Constructor for class es.uam.eps.ir.relison.links.linkprediction.MLComparators
MLConstants - Class in es.uam.eps.ir.relison.links.data.ml: Constants for Machine Learning algorithms.
MLConstants() - Constructor for class es.uam.eps.ir.relison.links.data.ml.MLConstants
MLFeatureGenerator - Class in es.uam.eps.ir.relison.examples.links.recommendation: Class for generating learning to rank / machine learning examples.
MLFeatureGenerator() - Constructor for class es.uam.eps.ir.relison.examples.links.recommendation.MLFeatureGenerator
mod - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.VSM: tf-idf vector modules for each user
mode - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.BipartiteRecommender: Execution mode: true if we want to recommend authorities, false if not.
mode - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractHeuristicNeighborOverlapReranker: Execution mode: 1) Embededness is corrected any time a swap is done.
mode - Variable in class es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges.CommunityEdgeGini: EdgeGini execution mode.
mode - Variable in class es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges.dice.DiceCommunityEdgeGini: Execution mode of the Gini metric.
mode - Variable in class es.uam.eps.ir.relison.sna.metrics.communities.graph.gini.edges.sizenormalized.SizeNormalizedCommunityEdgeGini: PairGini execution mode
mode - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.graph.ASL: Calculation mode
mode - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.vertex.Closeness: Calculation mode.
mode - Variable in class es.uam.eps.ir.relison.sna.metrics.graph.EdgeGini
MODE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.HITSGridSearch: Identifier for the mode of the algorithm.
MODE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PersonalizedHITSGridSearch: Identifier for the mode of the algorithm.
MODE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PersonalizedSALSAGridSearch: Identifier for the mode of the algorithm.
MODE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.SALSAGridSearch: Identifier for the mode of the algorithm.
MODE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.LoveGridSearch: Identifier for the mode of the algorithm.
MODE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.MoneyGridSearch: Identifier for the mode of the algorithm.
MODE - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.HeuristicAverageEmbeddednessRerankerGridSearch: Identifier for the update mode of the reranker.
MODE - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.HeuristicAverageWeaknessRerankerGridSearch: Identifier for the update mode of the reranker
MODE - Static variable in class es.uam.eps.ir.relison.grid.sna.graph.ASLGridSearch: Identifier for the computing mode
MODE - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.HITSGridSearch: Identifier for the orientation
model - Variable in class es.uam.eps.ir.relison.links.recommendation.features.CacheableItemDistanceModel: The current item distance model.
mods - Variable in class es.uam.eps.ir.relison.content.search.VSMSearchEngine: Modules
modularity - Variable in class es.uam.eps.ir.relison.sna.metrics.communities.graph.ModularityComplement: Modularity calculator.
modularity() - Method in class es.uam.eps.ir.relison.metrics.CommunityMetrics
Modularity - Class in es.uam.eps.ir.relison.sna.metrics.communities.graph: Computes the modularity of a graph, given the communities.
Modularity() - Constructor for class es.uam.eps.ir.relison.sna.metrics.communities.graph.Modularity
MODULARITY - Static variable in class es.uam.eps.ir.relison.grid.sna.comm.global.GlobalCommunityMetricIdentifiers: Identifier for the modularity metric.
MODULARITYCOMPL - Static variable in class es.uam.eps.ir.relison.grid.sna.comm.global.GlobalCommunityMetricIdentifiers: Identifier for the modularity complement metric.
ModularityComplement - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities: Implementation of a reranker which promotes the modularity complement of the network.
ModularityComplement - Class in es.uam.eps.ir.relison.sna.metrics.communities.graph: Computes the modularity complement of a graph, given the communities.
ModularityComplement() - Constructor for class es.uam.eps.ir.relison.sna.metrics.communities.graph.ModularityComplement: Constructor.
ModularityComplement(double, int, Supplier<Normalizer>, Graph, Communities) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.ModularityComplement: Constructor.
ModularityComplementGridSearch - Class in es.uam.eps.ir.relison.grid.sna.comm.global: Grid for the modularity complement of the graph.
ModularityComplementGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.comm.global.ModularityComplementGridSearch
ModularityGridSearch - Class in es.uam.eps.ir.relison.grid.sna.comm.global: Grid for the modularity of the graph.
ModularityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.comm.global.ModularityGridSearch
ModularityUserReranker(Recommendation<U, U>, int, Graph, MultiGraph<Integer>, Communities) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.WeakTies.ModularityUserReranker: Constructor.
modules - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.contentbased.CentroidCBRecommender: Modules of the centroids.
Money - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter: Twitter Money algorithm.
Money(FastGraph, int, double, boolean, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.Money: Constructor.
MONEY - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Money algorithm.
MoneyGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter: Grid search generator for the Money algorithm.
MoneyGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.MoneyGridSearch
MonteCarloGini - Class in es.uam.eps.ir.relison.utils.indexes: Gini coefficient of a random distribution
MonteCarloGini(int, int) - Constructor for class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Constructor.
MonteCarloGini(int, int, int) - Constructor for class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Constructor.
MonteCarloGiniCollection - Class in es.uam.eps.ir.relison.utils.indexes: Configures a set of MonteCarlo-computed Gini coefficients.
MonteCarloGiniCollection(int, int) - Constructor for class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: Constructor.
MonteCarloGiniCollection(int, int, int) - Constructor for class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: Full constructor.
MostCommonNeighbors - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Recommended that sorts candidate users according to the number of neighbors in common with the target one.
MostCommonNeighbors(FastGraph, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.MostCommonNeighbors: Constructor.
MostCommonNeighborsGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf: Grid search generator for Most Common Neighbors algorithm.
MostCommonNeighborsGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf.MostCommonNeighborsGridSearch
MostCommonNeighborsSimilarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.foaf: Similarity based on the Most Common Neighbors link prediction algorithm.
MostCommonNeighborsSimilarity(FastGraph<?>, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.foaf.MostCommonNeighborsSimilarity: Constructor.
MPD - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the mean prediction distance.
MTJ - es.uam.eps.ir.relison.utils.matrix.MatrixLibrary: Identifier for the Matrix Toolkit Java library
mu - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.QLDSimilarity: Smoothing parameter.
mu - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.QLD: Parameter which controls the trade-off between the regularization term and the original term in the formula.
MU - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.ir.QLDGridSearch: Identifier for the trade-off between the regularization term and the original term in the Query Likelihood Dirichlet formula.
MultiEdges - Interface in es.uam.eps.ir.relison.graph.multigraph.edges: Interface that represents the edges of a graph.
MultiEdgeTypes - Class in es.uam.eps.ir.relison.graph.multigraph.edges: Class that represents the type of the multiedges.
MultiEdgeTypes(int) - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdgeTypes: Constructor
MultiEdgeTypes(int, List<Integer>) - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdgeTypes: Constructor
MultiEdgeWeights - Class in es.uam.eps.ir.relison.graph.multigraph.edges: Class that represents the weight of the edges.
MultiEdgeWeights(int) - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdgeWeights: Constructor
MultiEdgeWeights(int, List<Double>) - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdgeWeights: Constructor
multigraph - Variable in class es.uam.eps.ir.relison.io.graph.PajekGraphReader: Indicates if the graph to read is a multigraph (true) or not (false)
multigraph - Variable in class es.uam.eps.ir.relison.io.graph.TextGraphReader: Indicates if te graph to read is a multigraph (true) or not (false)
MultiGraph - Interface in es.uam.eps.ir.relison.graph.multigraph: Interface for representing multigraphs
MUTUAL - es.uam.eps.ir.relison.graph.edges.EdgeOrientation: Orientation for selecting neighbors which are both adjacent and incident.
mutualDegree(V) - Method in interface es.uam.eps.ir.relison.graph.DirectedGraph: Obtains the mutual degree of a node.
mutualDegree(V) - Method in interface es.uam.eps.ir.relison.graph.Graph: Calculates the "mutual" degree of a node, i.e.
mutualDegree(V) - Method in interface es.uam.eps.ir.relison.graph.UndirectedGraph
mutualTest() - Method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest
mutualTest() - Method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest

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