R-Index

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R

r - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PageRank: Teleport rate.
r - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PageRankHittingTime: Teleport probability.
r - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedPageRank: Teleport rate.
r - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedPageRankHittingTime: Teleport probability.
r - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.TwitterRecommender: Teleport rate for the circle f trust computation.
r - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.vertex.ComplementaryPageRank: Teleport parameter.
r - Variable in class es.uam.eps.ir.relison.sna.metrics.vertex.PageRank: Teleport parameter.
R - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricIdentifiers: Identifier for the recall metric.
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.CommuteTimeGridSearch: Identifier for the teleport parameter
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.CommuteTimePersPageRankGridSearch: Identifier for the teleport parameter
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.HittingTimeGridSearch: Identifier for the teleport parameter
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.HittingTimePersPageRankGridSearch: Identifier for the teleport parameter
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PageRankGridSearch: Identifier for the teleport parameter
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.PersonalizedPageRankGridSearch: Identifier for the teleport parameter
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.LoveGridSearch: Identifier for the teleport rate for computing the circle of trust.
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.MoneyGridSearch: Identifier for the teleport rate for computing the circle of trust.
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterAverageCosineSimilarityGridSearch: Identifier for the teleport rate for computing the circle of trust.
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterCentroidCosineSimilarityGridSearch: Identifier for the teleport rate for computing the circle of trust.
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterMaximumCosineSimilarityGridSearch: Identifier for the teleport rate for computing the circle of trust.
R - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the recall metric.
R - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.ComplementaryPageRankGridSearch: Identifier for the orientation.
R - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.PageRankGridSearch: Identifier for the orientation
Radius - Class in es.uam.eps.ir.relison.sna.metrics.distance.graph: Computes the radius of a network.
Radius() - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.graph.Radius: Constructor.
Radius(DistanceCalculator) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.graph.Radius: Constructor.
RADIUS - Static variable in class es.uam.eps.ir.relison.grid.sna.graph.GraphMetricIdentifiers: Identifier for radius metric.
RadiusGridSearch - Class in es.uam.eps.ir.relison.grid.sna.graph: Grid for the radius of the graph.
RadiusGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.graph.RadiusGridSearch
random - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic.Random: Random number generator.
random - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.ReciprocalLinks: Random number generator for solving draws.
Random - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic: Recommends users randomly.
Random(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic.Random: Constructor.
Random(FastGraph, long) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.basic.Random: Constructor.
RANDOM - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Random algorithm
RANDOM - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers: Identifier for the random reranker.
RandomFiller<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.filler: Filler that completes ranking with random recommendation.
RandomFiller(FastPreferenceData<U, I>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.filler.RandomFiller: Constructor.
RandomFiller(FastPreferenceData<U, I>, long) - Constructor for class es.uam.eps.ir.relison.links.recommendation.filler.RandomFiller: Constructor.
RandomGraphGenerator - Class in es.uam.eps.ir.relison.examples.graphgen: Program for generating random graphs.
RandomGraphGenerator() - Constructor for class es.uam.eps.ir.relison.examples.graphgen.RandomGraphGenerator
RandomGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.baselines: Grid search generator for Random algorithm.
RandomGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.baselines.RandomGridSearch
RandomRerankerGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local: Grid search for a random reranker.
RandomRerankerGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.local.RandomRerankerGridSearch
RANDOMSEED - Static variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.Infomap: Pre-fixed random seed
RANGE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader
RANGE - Static variable in class es.uam.eps.ir.relison.grid.GridReader: Identifier for a range of values
RANGEMAX - Static variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: Maximum possible initial value for each coordinate of the omega vector
RANGEMIN - Static variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: Minimum possible initial value for each coordinate of the omega vector
ranking - Variable in class es.uam.eps.ir.relison.links.linkprediction.Prediction: The list of links, sorted by descending score.
ranking - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.RanksimNormalizer: The actual ranking.
rankpos - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AlternativeSemiCompleteCommunityEdgeGiniComplement: Positions in the ranking.
rankpos - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.OuterAlternativeSemiCompleteCommunityEdgeGiniComplement: Positions in the ranking.
ranksim() - Static method in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.Normalizers: Obtains a normalizer that normalizes according to ranking position.
RanksimNormalizer - Class in es.uam.eps.ir.relison.links.recommendation.reranking.normalizer: Ranksim normalizer.
RanksimNormalizer() - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.RanksimNormalizer: Constructor.
RATIOCUTSPECTRAL - Static variable in class es.uam.eps.ir.relison.grid.community.CommunityDetectionIdentifiers: Identifier of the Ratio Cut Spectral Clustering community detection approach.
RatioCutSpectralClustering - Class in es.uam.eps.ir.relison.sna.community.detection.modularity.balanced: Community detection algorithm for balanced communities.
RatioCutSpectralClustering(int) - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.RatioCutSpectralClustering: Constructor.
RatioCutSpectralClusteringConfigurator - Class in es.uam.eps.ir.relison.grid.community.modularity.balanced: Configurator for the Spectral Clustering community detection based on minimizing the ratio cut.
RatioCutSpectralClusteringConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.community.modularity.balanced.RatioCutSpectralClusteringConfigurator
read() - Method in interface es.uam.eps.ir.relison.links.linkprediction.io.LinkPredictionFormat.Reader: Reads the prediction
read() - Method in class es.uam.eps.ir.relison.links.linkprediction.io.TuplesLinkPredictionFormat.Reader
read(InputStream) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader
read(InputStream) - Method in interface es.uam.eps.ir.relison.io.graph.GraphReader: Given an input stream, reads a file from it (for reading embedded graphs in greater files).
read(InputStream) - Method in class es.uam.eps.ir.relison.io.graph.PajekGraphReader
read(InputStream) - Method in class es.uam.eps.ir.relison.io.graph.TextGraphReader
read(InputStream) - Method in class es.uam.eps.ir.relison.io.index.FastIndexReader
read(InputStream) - Method in interface es.uam.eps.ir.relison.io.index.IndexReader: Reads an index from an input stream.
read(InputStream, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader
read(InputStream, boolean, boolean) - Method in interface es.uam.eps.ir.relison.io.graph.GraphReader: Given an input stream, reads a file from it (for reading embedded graphs in greater files).
read(InputStream, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.PajekGraphReader
read(InputStream, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.TextGraphReader
read(InputStream, boolean, boolean, Index<Long>) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader
read(InputStream, boolean, boolean, Index) - Method in class es.uam.eps.ir.relison.io.graph.PajekGraphReader
read(InputStream, boolean, boolean, Index<V>) - Method in interface es.uam.eps.ir.relison.io.graph.GraphReader: Given an input stream, reads a file from it (for reading embedded graphs in greater files).
read(InputStream, boolean, boolean, Index<V>) - Method in class es.uam.eps.ir.relison.io.graph.TextGraphReader
read(String) - Static method in class es.uam.eps.ir.relison.diffusion.io.BinaryDataReader: Read a simple version of the data.
read(String) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader
read(String) - Method in interface es.uam.eps.ir.relison.io.graph.GraphReader: Given a file, reads a graph.
read(String) - Method in class es.uam.eps.ir.relison.io.graph.PajekGraphReader
read(String) - Method in class es.uam.eps.ir.relison.io.graph.TextGraphReader
read(String) - Method in class es.uam.eps.ir.relison.io.index.FastIndexReader
read(String) - Method in interface es.uam.eps.ir.relison.io.index.IndexReader: Reads an index from a file.
read(String) - Method in interface es.uam.eps.ir.relison.links.data.letor.io.InstanceSetReader: Given a file, reads an instance set.
read(String) - Method in class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceReader
read(String) - Method in interface es.uam.eps.ir.relison.sna.community.io.CommunitiesReader: Reads the community structure from a file.
read(String) - Method in class es.uam.eps.ir.relison.sna.community.io.TextCommunitiesReader
read(String, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader
read(String, boolean, boolean) - Method in interface es.uam.eps.ir.relison.io.graph.GraphReader: Given a file, reads a graph.
read(String, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.PajekGraphReader
read(String, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.TextGraphReader
read(String, boolean, boolean, Index<Long>) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader
read(String, boolean, boolean, Index) - Method in class es.uam.eps.ir.relison.io.graph.PajekGraphReader
read(String, boolean, boolean, Index<V>) - Method in interface es.uam.eps.ir.relison.io.graph.GraphReader: Given an file, reads a graph.
read(String, boolean, boolean, Index<V>) - Method in class es.uam.eps.ir.relison.io.graph.TextGraphReader
read(String, String, int) - Static method in class es.uam.eps.ir.relison.diffusion.io.BinaryDataReader: Read a simple version of the data.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.community.CommunityDetectionConfigurationsReader: Reads a YAML document containing the parameters
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.community.CommunityDetectionGridReader: Reads a YAML document containing the parameters
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.community.CommunityDetectionParametersReader: Reads a YAML document containing the parameters
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Obtains the metric configuration for the diffusion simulation from a YAML file.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Reads the configuration parameters from a file.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricConfigurationsReader: Reads a YAML document containing the different configurations of a list of metrics.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricGridReader: Obtains the different grids for contact recommendation metrics.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricParametersReader: Obtains the metric parameters for different recommendation metrics.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmConfigurationsReader: Reads a YAML document containing the different configurations of a list of algorithms.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmGridReader: Obtains the algorithm grids for different people-to-people recommendation algorithms.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmParametersReader: Obtains the algorithm grids for different people-to-people recommendation algorithms.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricConfigurationsReader: Reads a YAML document containing the different configurations of a list of metrics.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricGridReader: Obtains the different grids for contact recommendation metrics.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricParametersReader: Obtains the metric parameters for different recommendation metrics.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerConfigurationsReader: Reads a YAML document containing the different configurations of a list of rerankers.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerGridReader: Obtains the algorithm grids for different reranking algorithms.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerParametersReader: Obtains the algorithm grids for different reranking algorithms.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.sampling.IndividualSamplingAlgorithmGridReader: Reads a YAML document containing a grid.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.sna.MetricConfigurationsReader: It reads the YAML document containing the data.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.sna.MetricGridReader: It reads the YAML document containing the data.
read(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.sna.MetricParametersReader: It reads the YAML document containing the data.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.community.CommunityDetectionConfigurationsReader: Reads the parameters of a community detection algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.community.CommunityDetectionGridReader: Reads the parameters of a community detection algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.community.CommunityDetectionParametersReader: Reads the parameters of a community detection algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmConfigurationsReader: Reads the configurations for a single algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmGridReader: Reads the grid for a single algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmParametersReader: Reads the grid for a single algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerConfigurationsReader: Reads the configurations for a single algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerGridReader: Reads the grid for a single reranking algorithm.
readAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerParametersReader: Reads the grid for a single algorithm.
readAll() - Method in class es.uam.eps.ir.relison.examples.EmptyWriter
readAndSample(String, String, Map<Integer, Set<Integer>>, int, String) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.AblationExperimentExample: Given a LETOR file, and some feature selections, it generates a LETOR file for each selection.
readAndSampleReducedDiscrete(String, String, Map<Integer, Set<Integer>>, int, int, String) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.AblationExperimentExample: Generates the samples for a collection of datasets.
readBoolean(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads a boolean value from the parameters file.
readBooleanGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Reads boolean values from a grid
readConfigurationGrid(List<Object>, ParametersReader) - Method in class es.uam.eps.ir.relison.grid.ConfigurationsReader: Reads the possible values for the parameters of an algorithm.
readData(String, boolean, boolean, boolean, boolean, boolean, String, String, String, String[], String[], String, String, int, Parser, Parser, Parser<F>) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, boolean, String, String, String, String[], String[], String, Parser, Parser, Parser<F>) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, boolean, String, String, String, String[], String[], Parser, Parser, Parser<F>) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, boolean, String, String, String, String, Parser, Parser) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, boolean, String, String, String, Parser, Parser) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, String, String, String, String[], String[], String, int, Parser, Parser, Parser<F>) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, String, String, String, String[], String[], String, String, int, Parser, Parser, Parser<F>) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, String, String, String, String, int, Parser, Parser) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readData(String, boolean, boolean, boolean, boolean, String, String, String, String, String, int, Parser, Parser) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Read the data from files.
readDistribution(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader: Reads the elements of a distribution
readDistributions(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Reads the configuration parameters for a list of information propagation distributions.
readDouble(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads a double value from the parameters file.
readDoubleGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Reads double values from a grid.
Reader(InputStream) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.io.TuplesLinkPredictionFormat.Reader: Constructor.
readExpiration(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationParameterReader: Reads the parameters of a expiration mechanism
readFeature(DataInputStream, Index<Long>) - Static method in class es.uam.eps.ir.relison.diffusion.io.BinaryDataReader: Reads information about a single feature.
readFeatures(DataInputStream, Index<Long>) - Static method in class es.uam.eps.ir.relison.diffusion.io.BinaryDataReader: Reads information about features.
readFeatures(String) - Method in interface es.uam.eps.ir.relison.links.data.ml.io.PatternReader: Configures the features of the dataset.
readFeatures(String) - Method in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader
readFeaturesFile(String, Index<T>, Parser<T>, Parser<F>) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Reads a parameter file.
readFilter(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterParameterReader: Reads the parameters of a filter.
readFilters(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Reads the configuration parameters for the data filters.
readGridGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Reads a grid of grids.
readHeader(List<String>) - Method in interface es.uam.eps.ir.relison.links.data.letor.io.InstanceSetReader: Reads the header of the file into an object containing all information about features.
readHeader(List<String>) - Method in class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceReader: Reads the header of the file into an object containing all.
readIndex(String, Parser<T>) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Reads an index
readIndividualSamplingAlgorithm(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.sampling.IndividualSamplingAlgorithmGridReader: Reads the grid for a single algorithm.
readInfoPieces(DataInputStream, Index<Long>) - Static method in class es.uam.eps.ir.relison.diffusion.io.BinaryDataReader: Reads about information pieces.
readInstance(String, int) - Method in interface es.uam.eps.ir.relison.links.data.letor.io.InstanceSetReader: Reads an individual instance.
readInstance(String, int) - Method in class es.uam.eps.ir.relison.links.data.letor.io.LETORInstanceReader: Reads an individual instance.
readInteger(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads an integer value from the parameters file.
readIntegerGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Obtains the integer values for a grid search.
readIteration(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.io.backup.BinarySimulationReader
readIteration(Data<U, I, P>) - Method in interface es.uam.eps.ir.relison.diffusion.io.backup.SimulationReader: Writes a single iteration in a file.
readLong(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads an long value from the parameters file.
readLongGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Reads long values from a grid
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricParameterReader: Reads a metric.
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricGridReader: Reads the grid for a single metric.
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricParametersReader: Reads the parameters for a single metric.
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricGridReader: Reads the grid for a single metric.
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricParametersReader: Reads the parameters for a single metric.
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.sna.MetricConfigurationsReader: Reads the grid for a single metric.
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.sna.MetricGridReader: Reads the grid for a single metric.
readMetric(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.sna.MetricParametersReader: Reads the grid for a single metric.
readMetrics(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricConfigurationsReader: Reads the configurations for a single metric.
readMetrics(Map.Entry<String, Object>) - Method in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricConfigurationsReader: Reads the configurations for a single metric.
readMetrics(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Reads the configuration parameters for a list of information propagation metrics.
readMultiGraph(InputStream, boolean, boolean, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader: Reads a multigraph from an input stream reading a binary file
readMultiGraph(InputStream, boolean, boolean, boolean, boolean, Index<Long>) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader: Reads a multigraph from an input stream reading a binary file.
readOrientation(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads an edge orientation value from the parameters file.
readOrientationGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Reads edge orientation values from a grid
readParameterGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Given a map containing the different parameters to read, obtains a grid storing the different possible values for each single parameter.
readParameters(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads the parameters for the internal elements of the algorithm, metric, etc.
readParameterValues(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads the values of the parameters for a single algorithm, metric, etc.
readPartitionsFile(String, Map<Integer, Set<Integer>>) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.AblationExperimentExample: Reads a file specifying the partitions.
readPropagation(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationParameterReader: Reads the parameters of a propagation mechanism
readProtocol(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Reads a protocol from an XML.
readRealProp(DataInputStream, Index<Long>, Index<Long>) - Static method in class es.uam.eps.ir.relison.diffusion.io.BinaryDataReader: Reads information about the real propagated information pieces.
readRealPropagatedFile(String, Index, Index, Parser, Parser) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Reads information about what information pieces were truly repropagated in the real world scenario.
readReceivedPiecesField(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.io.backup.BinarySimulationReader: Reads a particular field concerning received data by users.
readSelection(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionParameterReader: Reads the parameters of a selection mechanism
readSight(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.sight.SightParameterReader: Reads the parameters of a sight mechanism
readSimpleGraph(InputStream, boolean, boolean, boolean, boolean) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader: Reads a graph from an input stream reading a binary file.
readSimpleGraph(InputStream, boolean, boolean, boolean, boolean, Index<Long>) - Method in class es.uam.eps.ir.relison.io.graph.BinaryGraphReader: Reads a graph from an input stream reading a binary file.
readSimulation(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.io.backup.BinarySimulationReader
readSimulation(Data<U, I, P>) - Method in interface es.uam.eps.ir.relison.diffusion.io.backup.SimulationReader: Reads a simulation from a file.
readSimulation(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Reads the grid for a single simulation.
readStopCondition(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionParameterReader: Reads the parameters of a stop condition.
readString(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.ParametersReader: Reads a string value from the parameters file.
readStringGrid(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.GridReader: Reads string values from a grid
readTest(String, Parser) - Method in interface es.uam.eps.ir.relison.links.data.ml.io.PatternReader: Reads the test set.
readTest(String, Parser) - Method in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader
readTimes(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader: Obtains the list of iterations of the simulation when the distribution shall be stored in a file.
readTrain(String) - Method in interface es.uam.eps.ir.relison.links.data.ml.io.PatternReader: Reads the training set.
readTrain(String) - Method in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader
readUpdate(Map<String, Object>) - Method in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateParameterReader: Reads the parameters of a update mechanism
readUserActionField(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.io.backup.BinarySimulationReader: Reads a particular field concerning actions made by the users.
readUserIndex(DataInputStream) - Static method in class es.uam.eps.ir.relison.diffusion.io.BinaryDataReader: Reads a user index.
readUserInformation(String, Index, Index, Parser, Parser) - Method in class es.uam.eps.ir.relison.diffusion.io.DataReader: Reads detailed data about the information.
readYAML(String) - Static method in class es.uam.eps.ir.relison.examples.AuxiliarMethods: Reads a Yaml file
REALPROP - Static variable in class es.uam.eps.ir.relison.examples.diffusion.Diffusion
REALPROP - Static variable in class es.uam.eps.ir.relison.examples.diffusion.DiffusionEvaluation
realPropagated - Variable in class es.uam.eps.ir.relison.diffusion.data.Data: Map containing the information pieces which have been really propagated by the user.
realPropagatedByTS - Variable in class es.uam.eps.ir.relison.diffusion.data.Data: Relation between the timestamps and the pieces repropagated by each user.
RealPropagatedGlobalRecall - Class in es.uam.eps.ir.relison.diffusion.metrics.informationpieces.global: Computes the fraction of pieces which were repropagated in the real setting which have been received by the users.
RealPropagatedGlobalRecall() - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.informationpieces.global.RealPropagatedGlobalRecall: Constructor.
RealPropagatedGlobalRecallConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.informationpieces: Configures a metric that measures the fraction of the pieces propagated in a real process which have been received.
RealPropagatedGlobalRecallConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.informationpieces.RealPropagatedGlobalRecallConfigurator
RealPropagatedIndividualRecallConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.informationpieces: Configures a metric that measures the fraction of the pieces propagated in a real process which have been received (individually for each user).
RealPropagatedIndividualRecallConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.informationpieces.RealPropagatedIndividualRecallConfigurator
RealPropagatedRecall - Class in es.uam.eps.ir.relison.diffusion.metrics.informationpieces.individual: Computes the fraction of pieces which were repropagated in the real setting which have been received by each user.
RealPropagatedRecall() - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.informationpieces.individual.RealPropagatedRecall: Constructor.
REALPROPRECALL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers: Identifier for the individual real propagated recall metric.
rec - Variable in class es.uam.eps.ir.relison.links.data.letor.sampling.RecommenderIndividualSampler: The recommendation algorithm.
REC - Static variable in class es.uam.eps.ir.relison.examples.diffusion.Diffusion
REC - Static variable in class es.uam.eps.ir.relison.examples.diffusion.DiffusionEvaluation
REC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting pieces to propagate according to whether they come from recommended links or not.
REC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.sampling.RecommenderIndividualSamplerConfigurator: Identifier for the recommendation algorithm.
Recall - Class in es.uam.eps.ir.relison.links.linkprediction.metrics: Implementation of the recall metric for link prediction.
Recall(double) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.metrics.Recall: Constructor.
Recall(int) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.metrics.Recall: Constructor.
RECALL - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.creator.individual.CreatorRecall: Name fixed value.
RECALL - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureCount: Name fixed value.
RECALL - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureRecall: Name fixed value.
RECALL - Static variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureRecall: Name fixed value.
RECALL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricIdentifiers: Identifier for the feature recall metric.
RecallConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy: Grid search generator for the recall metric.
RecallConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy: Grid search generator for the recall metric.
RecallConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy.RecallConfigurator
RecallConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy.RecallConfigurator
receivedFeats - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureRecall: Stores (if it is necessary), a relation between users and features.
receivedFeats - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureRecall: Stores (if it is necessary), a relation between users and the received features.
receivedFeatures - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureCount: Stores (if it is necessary), a relation between users and features.
receivedInfo - Variable in class es.uam.eps.ir.relison.diffusion.data.FastUser: Map that contains the previously received information that has not been propagated or discarded.
RECIP - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers: Identifier for the reciprocity metric.
RECIPRAVGECCENTRICITY - Static variable in class es.uam.eps.ir.relison.grid.sna.graph.GraphMetricIdentifiers: Identifier for reciprocal average eccentricity metric.
RECIPRDIAMETER - Static variable in class es.uam.eps.ir.relison.grid.sna.graph.GraphMetricIdentifiers: Identifier for reciprocal diameter metric.
ReciprocalAverageEccentricity - Class in es.uam.eps.ir.relison.sna.metrics.distance.graph: Computes the diameter of a network.
ReciprocalAverageEccentricity() - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.graph.ReciprocalAverageEccentricity: Constructor.
ReciprocalAverageEccentricity(DistanceCalculator) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.graph.ReciprocalAverageEccentricity: Constructor.
ReciprocalAverageEccentricityGridSearch - Class in es.uam.eps.ir.relison.grid.sna.graph: Grid for the reciprocal average eccentricity of the graph.
ReciprocalAverageEccentricityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.graph.ReciprocalAverageEccentricityGridSearch
ReciprocalDiameter - Class in es.uam.eps.ir.relison.sna.metrics.distance.graph: Computes the reciprocal diameter of a network.
ReciprocalDiameter() - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.graph.ReciprocalDiameter: Constructor.
ReciprocalDiameter(DistanceCalculator) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.graph.ReciprocalDiameter: Constructor.
ReciprocalDiameterGridSearch - Class in es.uam.eps.ir.relison.grid.sna.graph: Grid for the reciprocal diameter of the graph.
ReciprocalDiameterGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.graph.ReciprocalDiameterGridSearch
ReciprocalLinks - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Recommends reciprocal links.
ReciprocalLinks(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.ReciprocalLinks: Constructor.
ReciprocalLinks(FastGraph, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.ReciprocalLinks: Constructor.
ReciprocalShortestPathLength - Class in es.uam.eps.ir.relison.sna.metrics.distance.pair: Computes the Reciprocal Shortest Path Length.
ReciprocalShortestPathLength() - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.pair.ReciprocalShortestPathLength: Constructor.
ReciprocalShortestPathLength(DistanceCalculator) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.pair.ReciprocalShortestPathLength: Constructor.
ReciprocalShortestPathLengthGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid search for the Reciprocal Shortest Path Length metric.
ReciprocalShortestPathLengthGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.ReciprocalShortestPathLengthGridSearch
RECIPROCALSPL - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers: Identifier for the reciprocal shortest path length metric.
ReciprocityRate - Class in es.uam.eps.ir.relison.sna.metrics.graph: Reciprocity rate of the graph (proportion of reciprocal links)
ReciprocityRate - Class in es.uam.eps.ir.relison.sna.metrics.pair: Checks if a graph has the reciprocal edge of a pair.
ReciprocityRate() - Constructor for class es.uam.eps.ir.relison.sna.metrics.graph.ReciprocityRate
ReciprocityRate() - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.ReciprocityRate
RECIPROCITYRATE - Static variable in class es.uam.eps.ir.relison.grid.sna.graph.GraphMetricIdentifiers: Identifier for reciprocity rate metric.
ReciprocityRateGridSearch - Class in es.uam.eps.ir.relison.grid.sna.graph: Grid for the reciprocity rate of the graph.
ReciprocityRateGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid search for the reciprocity of a pair of nodes.
ReciprocityRateGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.graph.ReciprocityRateGridSearch
ReciprocityRateGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.ReciprocityRateGridSearch
RECOMMEND - Static variable in class es.uam.eps.ir.relison.diffusion.simulation.SimulationEdgeTypes: Identifier for the recommended links.
Recommendation - Class in es.uam.eps.ir.relison.examples.links.recommendation: Class for recommending and evaluating contact recommendation approaches.
Recommendation() - Constructor for class es.uam.eps.ir.relison.examples.links.recommendation.Recommendation
RecommendationAlgorithmFunction - Interface in es.uam.eps.ir.relison.links.recommendation.algorithms: Functions for retrieving trained recommendation algorithms.
RecommendationLinkPredictor - Class in es.uam.eps.ir.relison.links.linkprediction: Link prediction algorithm based on a contact recommendation algorithm.
RecommendationLinkPredictor(Graph, Recommender<U, U>) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.RecommendationLinkPredictor: Constructor.
RecommendationLinkPredictor(Graph, Comparator<Tuple2od<Pair>>, Recommender<U, U>) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.RecommendationLinkPredictor: Constructor.
RecommendationMetricFunction<U,F> - Interface in es.uam.eps.ir.relison.grid.links.recommendation.metrics: Functions for retrieving a configured recommendation metric.
RECOMMENDED - Static variable in class es.uam.eps.ir.relison.grid.diffusion.sight.SightMechanismIdentifiers: Identifier for seeing contents from recommended links or not recommended links from certain probability.
RecommendedSightConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.sight: Configures a sight mechanism that makes users observe pieces coming from recommended links with a certain probability and pieces coming from the original network links with another.
RecommendedSightConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.sight.RecommendedSightConfigurator
RecommendedSightMechanism - Class in es.uam.eps.ir.relison.diffusion.sight: This mechanism applies two different probabilities: one for observing information pieces from recommended users, and other for observing information pieces from training users.
RecommendedSightMechanism(double, double, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.sight.RecommendedSightMechanism: Constructor.
recommender - Variable in class es.uam.eps.ir.relison.links.linkprediction.RecommendationLinkPredictor: The original contact recommendation algorithm.
recommender - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.RecommenderSimilarity: A fast recommendation algorithm.
RECOMMENDER - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.sampling.IndividualSamplingAlgorithmIdentifiers: Identifier for the sampling algorithm that the top-k recommended nodes.
RecommenderIndividualSampler - Class in es.uam.eps.ir.relison.links.data.letor.sampling: Samples the top k of a contact recommendation algorithm.
RecommenderIndividualSampler(Graph, Recommender<U, U>, int) - Constructor for class es.uam.eps.ir.relison.links.data.letor.sampling.RecommenderIndividualSampler: Constructor.
RecommenderIndividualSamplerConfigurator - Class in es.uam.eps.ir.relison.grid.links.recommendation.sampling: Class for configuring distance two individual samplers.
RecommenderIndividualSamplerConfigurator(Parser) - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.sampling.RecommenderIndividualSamplerConfigurator: Constructor.
RecommenderSelectionConfigurator - 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 with a certain probability, and through not recommended links with other.
RecommenderSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.RecommenderSelectionConfigurator
RecommenderSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selects the propagated pieces depending on the recommendations.
RecommenderSelectionMechanism(int, int, double, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.RecommenderSelectionMechanism: Constructor.
RecommenderSelectionMechanism(int, int, int, double, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.RecommenderSelectionMechanism: Constructor.
RecommenderSimilarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities: Class which applies any contact recommendation algorithm as a graph similarity for contact recommendation / link prediction.
RecommenderSimilarity(FastGraph<?>, FastRecommender<?, ?>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.RecommenderSimilarity: Constructor.
RecommenderSupplier - Interface in es.uam.eps.ir.relison.links.recommendation.algorithms: Interface for obtaining a configured contact recommendation algorithm.
RecommenderTest - Class in es.uam.eps.relison.links.recommendation.test: Automated unit tests for checking some recommendation approaches.
RecommenderTest() - Constructor for class es.uam.eps.relison.links.recommendation.test.RecommenderTest: Constructor.
RecommMetricConfigurationsReader - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics: Class for reading contact recommendation metrics.
RecommMetricConfigurationsReader() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricConfigurationsReader: Constructor.
RecommMetricConfigurator<U,F> - Interface in es.uam.eps.ir.relison.grid.links.recommendation.metrics: Class for configuring a given recommendation metric.
RecommMetricGridReader - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics: Class for reading contact recommendation metrics..
RecommMetricGridReader() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricGridReader: Constructor
RecommMetricGridSelector<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics: Class that translates from a grid to the different contact recommendation algorithms.
RecommMetricGridSelector() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricGridSelector: Constructor.
RecommMetricIdentifiers - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics: Identifiers for the different contact recommendation metrics available in the library.
RecommMetricIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers
RecommMetricParametersReader - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics: Class for reading contact recommendation metrics.
RecommMetricParametersReader() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricParametersReader: Constructor.
recProb - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyRecommenderPropagationMechanism: Probability of selecting a recommended link for propagation.
recs - Variable in class es.uam.eps.ir.relison.examples.EmptyWriter: List for storing the recommendations.
recs - Variable in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.MeanPredictionDistance: The list of recommendations.
recs - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker: The recommendations
recStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker: Statistics for the original scores.
ReducedIndex<T> - Interface in es.uam.eps.ir.relison.index: Index that cannot be modified.
relation - Variable in class es.uam.eps.ir.relison.diffusion.metrics.distributions.InfoPiecesDistribution: Relation between users and tags.
relation - Variable in class es.uam.eps.ir.relison.diffusion.metrics.distributions.MixedFeatureDistribution: Relation between users and tags.
relation - Variable in class es.uam.eps.ir.relison.diffusion.metrics.distributions.UserDistribution: Relation between users and tags.
relation - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalUserEntropy: Times each parameter has been received.
relation - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalUserGiniComplement: Times each parameter has been received.
relation - Variable in class es.uam.eps.ir.relison.diffusion.metrics.informationpieces.global.InformationPieceGiniComplement: Relation between users and received pieces of information.
relation - Variable in class es.uam.eps.ir.relison.links.linkprediction.SupervisedLinkPredictor: Relation between pairs of users and the test patterns
relation - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.MachineLearningWekaRecommender: Relation between test instances and true edges
Relation<W> - Interface in es.uam.eps.ir.relison.index: A relation between two different sets of objects.
relevantContacts - Variable in class es.uam.eps.ir.relison.links.recommendation.metrics.accuracy.ContactRecommendationRelevanceModel.UserContactRecommendationRelevanceModel: The set of adjacent neighbors of the given user in the network.
RELEVANTEDGES - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterIdentifiers: Identifier for the filter which removes recommended but irrelevant edges from the graph.
RelevantEdgesFilter - Class in es.uam.eps.ir.relison.diffusion.data.filter: Filter that removes recommended and not relevant edges from the graph.
RelevantEdgesFilter(Graph) - Constructor for class es.uam.eps.ir.relison.diffusion.data.filter.RelevantEdgesFilter: Constructor.
RelevantEdgesFilterConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.filter: Configures a filter which, if a recommendation has been added to the original graph, keeps only those relevant recommended edges.
RelevantEdgesFilterConfigurator(Graph) - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.RelevantEdgesFilterConfigurator: Constructor.
relModel - Variable in class es.uam.eps.ir.relison.links.recommendation.metrics.accuracy.TRECAveragePrecision: An ideal relevance model.
relStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: Statistics for the original scores.
relStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker: Statistics for the original scores.
relStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker: Statistics about relevance scores.
remove(int) - Method in interface es.uam.eps.ir.relison.index.AutoRelation: Removes an element.
remove(int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedAutoRelation
remove(int) - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedAutoRelation
removeAutoloops(Graph) - Static method in class es.uam.eps.ir.relison.graph.Adapters: Given a graph, obtains a version of it without autoloops.
removeEdge(int, int) - Method in interface es.uam.eps.ir.relison.graph.edges.Edges: Removes an edge.
removeEdge(int, int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastDirectedUnweightedEdges
removeEdge(int, int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastDirectedWeightedEdges
removeEdge(int, int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastUndirectedUnweightedEdges
removeEdge(int, int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastUndirectedWeightedEdges
removeEdge(int, int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedUnweightedMultiEdges
removeEdge(int, int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedWeightedMultiEdges
removeEdge(int, int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedUnweightedMultiEdges
removeEdge(int, int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedWeightedMultiEdges
removeEdge(int, int, int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdges: Removes an edge.
removeEdge(U, U) - Method in class es.uam.eps.ir.relison.graph.complementary.ComplementaryGraph
removeEdge(U, U) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
removeEdge(U, U, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
removeEdge(U, U, int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.MultiGraph: Removes an edge from the graph.
removeEdge(V, V) - Method in class es.uam.eps.ir.relison.graph.fast.AbstractFastGraph
removeEdge(V, V) - Method in interface es.uam.eps.ir.relison.graph.Graph: Removes an edge from the graph.
removeEdges(int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedUnweightedMultiEdges
removeEdges(int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedWeightedMultiEdges
removeEdges(int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedUnweightedMultiEdges
removeEdges(int, int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedWeightedMultiEdges
removeEdges(int, int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdges: Removes all the edges between a pair of nodes.
removeEdges(U, U) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
removeEdges(U, U) - Method in interface es.uam.eps.ir.relison.graph.multigraph.MultiGraph: Deletes all the edges between a pair of nodes.
removeNode(int) - Method in interface es.uam.eps.ir.relison.graph.edges.Edges: Removes a node from the edge list.
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastDirectedUnweightedEdges
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastDirectedWeightedEdges
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastUndirectedUnweightedEdges
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastUndirectedWeightedEdges
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedUnweightedMultiEdges
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedWeightedMultiEdges
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedUnweightedMultiEdges
removeNode(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedWeightedMultiEdges
removeNode(int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdges: Removes a node from the edge list.
removeNode(U) - Method in class es.uam.eps.ir.relison.graph.complementary.ComplementaryGraph
removeNode(U) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
removeNode(V) - Method in class es.uam.eps.ir.relison.graph.fast.AbstractFastGraph
removeNode(V) - Method in interface es.uam.eps.ir.relison.graph.Graph: Removes a node from the graph.
removeObject(I) - Method in interface es.uam.eps.ir.relison.index.Index: Removes an object from the index.
removeObject(T) - Method in class es.uam.eps.ir.relison.index.fast.FastIndex
removePair(int, int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation
removePair(int, int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation
removePair(int, int) - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation
removePair(int, int) - Method in interface es.uam.eps.ir.relison.index.Relation: Removes a pair.
repropagateSelection - Variable in class es.uam.eps.ir.relison.diffusion.selections.Selection: Selection of already propagated pieces to propagate.
RerankerConfigurationsReader - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers: Class for reading reranking algorithms.
RerankerConfigurationsReader() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerConfigurationsReader: Constructor.
RerankerGridReader - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers: Class for reading reranking algorithms.
RerankerGridReader() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerGridReader: Constructor
RerankerGridSearch - Interface in es.uam.eps.ir.relison.grid.links.recommendation.rerankers: Interface for obtaining the different configurations of a given global reranking algorithm.
RerankerGridSelector - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers: Class that translates from a grid to the different contact recommendation algorithns.
RerankerGridSelector() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerGridSelector
RerankerIdentifiers - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers: Identifiers for the different contact recommendation algorithms available in the library
RerankerIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers
RerankerParametersReader - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers: Class for reading reranking algorithms.
RerankerParametersReader() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerParametersReader: Constructor.
RERANKERS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerConfigurationsReader
RERANKERS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerGridReader
RERANKERS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerParametersReader
rerankersConfs - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerConfigurationsReader: Map for storing the different configurations of an algorithm.
rerankersGrid - Variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerGridReader: Algorithms grid.
Reranking - Class in es.uam.eps.ir.relison.examples.links.recommendation: Program for applying a given reranking algorithm to the outcome of a contact recommendation algorithm.
Reranking() - Constructor for class es.uam.eps.ir.relison.examples.links.recommendation.Reranking
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalGreedyReranker: Given a recommendation, permutates it according to the given criteria
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapGreedyReranker: Obtains a permutation for a ranking that greedily optimizes the global metric.
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker: Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.
rerankRecommendation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalGreedyReranker
rerankRecommendation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalReranker: Given a recommendation, reranks it.
rerankRecommendation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapGreedyReranker
rerankRecommendation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapReranker: Reranks the recommendation for a user.
rerankRecommendations(Stream<Recommendation<U, I>>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker
rerankRecommendations(Stream<Recommendation<U, I>>, int) - Method in interface es.uam.eps.ir.relison.links.recommendation.reranking.global.GlobalReranker: Reranks a set of recommendations.
rerankRecommendations(Stream<Recommendation<U, I>>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalRandomReranker
rerankRecommendations(Stream<Recommendation<U, I>>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalReranker
rerankRecommendations(Stream<Recommendation<U, I>>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapReranker
rerankRecommendations(Stream<Recommendation<U, U>>, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker
rereceivedPieces - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: The set of re-received information pieces observed by each user (and their creators).
resalloc() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest: Resource Allocation algorithm
RESALLOC - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Resource Allocation algorithm.
reset() - Method in class es.uam.eps.ir.relison.links.data.letor.NominalStats
reset() - Method in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller
reset() - Method in interface es.uam.eps.ir.relison.links.recommendation.filler.Filler: Resets the filler.
reset() - Method in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ILD
reset() - Method in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ItemNoveltyMetric
reset() - Method in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.MeanPredictionDistance
reset() - Method in interface es.uam.eps.ir.relison.utils.generator.Generator: Resets the generator.
reset() - Method in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: Resets the metric to the state with no initial information.
reset(Map<Integer, Long>) - Method in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: Resets the metric to an initial state.
reset(V) - Method in interface es.uam.eps.ir.relison.utils.generator.Generator: Resets the generator at some specific value
resetMethod() - Method in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller: Resets the variables corresponding to the filler.
resetMethod() - Method in class es.uam.eps.ir.relison.links.recommendation.filler.IdFiller
resetMethod() - Method in class es.uam.eps.ir.relison.links.recommendation.filler.RandomFiller
resetOwnInformation(Stream<PropagatedInformation>) - Method in class es.uam.eps.ir.relison.diffusion.simulation.UserState: Resets the list of own information.
resetSelections(Data<U, I, P>) - Method in interface es.uam.eps.ir.relison.diffusion.propagation.PropagationMechanism: It resets the selections that this mechanism did in past iterations.
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPropagationMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyPureRecommenderPropagationMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyRecommenderPropagationMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.propagation.PullStrategyPropagationMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.propagation.PushStrategyPropagationMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.sight.AllRecommendedSightMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.sight.AllTrainSightMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.sight.CountSightMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.sight.IndividualSightMechanism
resetSelections(Data<U, I, P>) - Method in class es.uam.eps.ir.relison.diffusion.sight.RecommendedSightMechanism
resetSelections(Data<U, I, P>) - Method in interface es.uam.eps.ir.relison.diffusion.sight.SightMechanism: For each user, this method preconfigures the sight mechanism (for example, selecting a fixed set of users whom each user pays attention to).
ResourceAllocation - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Recommender that uses the resource allocation principle to recommend.
ResourceAllocation(FastGraph, EdgeOrientation, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.ResourceAllocation: Constructor.
ResourceAllocationGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf: Grid search generator for resource allocation algorithm.
ResourceAllocationGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf.ResourceAllocationGridSearch
results - Variable in class es.uam.eps.ir.relison.links.linkprediction.InstancePostfixExLinkPredictor: List which contains the results of the algorithm link prediction.
retrieved - Variable in class es.uam.eps.ir.relison.diffusion.metrics.creator.individual.CreatorRecall: The different "retrieved" users.
rewire(Graph, List, Random, U, U) - Method in class es.uam.eps.ir.relison.graph.generator.random.WattsStrogatzGenerator: Rewires a connection in a graph.
ring - Variable in class es.uam.eps.ir.relison.graph.generator.random.WattsStrogatzGenerator: Original ring graph.
rng - Variable in class es.uam.eps.ir.relison.diffusion.expiration.ExponentialDecayExpirationMechanism: Random number generator.
rng - Variable in class es.uam.eps.ir.relison.diffusion.propagation.PullPushStrategyRecommenderPropagationMechanism: Random number generator.
rng - Variable in class es.uam.eps.ir.relison.diffusion.selections.CountSelectionMechanism: Random number generator
rng - Variable in class es.uam.eps.ir.relison.diffusion.sight.RecommendedSightMechanism: Random number generator
rng - Variable in class es.uam.eps.ir.relison.links.recommendation.filler.IdFiller: Random number generator.
rng - Variable in class es.uam.eps.ir.relison.links.recommendation.filler.RandomFiller: Random number generator.
rng - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.AbstractFastGreedy: Random number generator.
rngSeed - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.AbstractFastGreedy: Random number seed.
rngSeed - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.LabelPropagation: The seed for a random number generator.
rngSeed - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.Louvain: Seed for a random number generator.
ROCCurve - Class in es.uam.eps.ir.relison.links.linkprediction.metrics: Given a list, finds the receiver operating characteristic (ROC) curve.
ROCCurve(Graph) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.metrics.ROCCurve: Constructor.
rootTest() - Method in class es.uam.eps.ir.relison.graph.tree.UnweightedTreeTest: Tests the addition of the root to the graph.
rsj - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.BM25Similarity: Robertson-Sparck-Jones values for the different users.
rsj - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.BM25: Robertson-Sparck-Jones formula values for each user.
RUMORSPREADING - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolIdentifiers: Identifier for the rumor spreading protocol.
RumorSpreadingModelConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Configures a simple rumor spreading model protocol.
RumorSpreadingModelConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.RumorSpreadingModelConfigurator
RumorSpreadingModelProtocol - Class in es.uam.eps.ir.relison.diffusion.protocols: Adaptation of the pull-push protocol.
RumorSpreadingModelProtocol(int, int, int) - Constructor for class es.uam.eps.ir.relison.diffusion.protocols.RumorSpreadingModelProtocol: Constructor.

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