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N

N - Static variable in class es.uam.eps.ir.relison.examples.diffusion.Diffusion
N - Static variable in class es.uam.eps.ir.relison.examples.diffusion.DiffusionEvaluation
NaiveBayesClassifier - Class in es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers: Classifier which applies the Naive Bayes method.
NaiveBayesClassifier() - Constructor for class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: Constructor.
NaiveBayesClassifier(boolean) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: Constructor
name - Variable in class es.uam.eps.ir.relison.diffusion.metrics.AbstractGlobalSimulationMetric: The name of the metric.
name - Variable in class es.uam.eps.ir.relison.diffusion.metrics.AbstractIndividualSimulationMetric: The name of the metric.
name - Variable in class es.uam.eps.ir.relison.diffusion.metrics.distributions.AbstractDistribution: The distribution name
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationParameterReader: Name of the expiration mechanism
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterParameterReader: The name of the filter.
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader: Name of the selection mechanism.
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.MetricParameterReader: Name of the diffusion metric.
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationParameterReader: Name of the propagation mechanism
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Protocol name
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionParameterReader: Name of the selection mechanism
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.sight.SightParameterReader: Name of the sight mechanism
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionParameterReader: The name of the filter.
name - Variable in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateParameterReader: Name of the update mechanism
name - Variable in class es.uam.eps.ir.relison.links.data.ml.features.Feature: Name of the attribute.
NAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationParameterReader: Identifier for the name of the mechanism
NAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.propagation.PropagationParameterReader: Identifier for the name of the mechanism
NAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Identifier for the name of the protocol
NAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionParameterReader: Identifier for the name of the mechanism
NAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.sight.SightParameterReader: Identifier for the name of the mechanism
NAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionParameterReader: Identifier for the name of the algorithm.
NAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateParameterReader: Identifier for the name of the mechanism
NAME - Static variable in class es.uam.eps.ir.relison.grid.ParametersReader: Identifier for the name of a parameter.
names - Variable in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader: Names of the attributes
NDCG - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.metrics.RecommMetricIdentifiers: Identifier for the nDCG metric.
NDCGConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy: Grid search generator for the normalized discounted cumulative gain (nDCG) metric.
NDCGConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.metrics.accuracy.NDCGConfigurator
negate() - Method in class es.uam.eps.ir.relison.utils.datatypes.Vector: Returns a vector whose coordinates are opposite of the coordinates of the current vector
NEGATIVECLASS - Static variable in class es.uam.eps.ir.relison.links.data.ml.MLConstants: Identifier for the negative class.
NEIGH - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.LoveGridSearch: Identifier for the number of users in the circle of trust.
NEIGH - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.MoneyGridSearch: Identifier for the number of users in the circle of trust.
NEIGH - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterAverageCosineSimilarityGridSearch: Identifier for the number of users in the circle of trust.
NEIGH - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterCentroidCosineSimilarityGridSearch: Identifier for the number of users in the circle of trust.
NEIGH - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterMaximumCosineSimilarityGridSearch: Identifier for the number of users in the circle of trust.
neighbors - Variable in class es.uam.eps.ir.relison.diffusion.sight.RecommendedSightMechanism: For each user, the set of users they are neighbors to see information from.
neighbourOverlap() - Method in class es.uam.eps.ir.relison.metrics.PairMetricsTest
NeighbourOverlap - Class in es.uam.eps.ir.relison.sna.metrics.pair: Computes the intersection between the neighborhoods of two nodes.
NeighbourOverlap() - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.NeighbourOverlap: Default constructor.
NeighbourOverlap(EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.pair.NeighbourOverlap: Constructor.
newcoef(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker: Computes the new clustering coefficient for a given user
newcoef(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker: Updates the parameters, considering that a new edge is added, and the old edge is removed.
newcoefadd(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker: Updates the parameters, considering that a only new edge is added.
newcoefadd(U, Tuple2od, double, double) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker: Computes the resulting clustering coefficient from adding a link
newcoefdel(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker: Updates the parameters, considering that the new edge is not added (only the old is removed.)
newcoefdelete(U, Tuple2od, double, double) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker: Computes the resulting clustering coefficient from removing a link
NEWEST - Static variable in class es.uam.eps.ir.relison.grid.diffusion.update.UpdateMechanismIdentifiers: Identifier for the update mechanism that keeps the newest piece of information.
NewestUpdateConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.update: Configures an update mechanism that just takes the newest piece.
NewestUpdateConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.update.NewestUpdateConfigurator
NewestUpdateMechanism - Class in es.uam.eps.ir.relison.diffusion.update: Update mechanism for the information cascade model.
NewestUpdateMechanism() - Constructor for class es.uam.eps.ir.relison.diffusion.update.NewestUpdateMechanism
newlyPropagatedInfo - Variable in class es.uam.eps.ir.relison.diffusion.simulation.Simulator: Number of newly propagated information in an iteration.
next() - Method in class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneFreqVectorIterator
next() - Method in class es.uam.eps.ir.relison.content.index.structure.lucene.LucenePostingsIterator: Advances the posting list.
next() - Method in class es.uam.eps.ir.relison.content.index.structure.positional.lucene.LucenePositionalPostingsIterator: Obtains the next element in the posting list.
next() - Method in class es.uam.eps.ir.relison.content.index.structure.positional.PositionsIterator: The next position in the position list.
nextAfter(int) - Method in class es.uam.eps.ir.relison.content.index.structure.positional.PositionsIterator: Obtains the first element after a given position.
nextBefore(int) - Method in class es.uam.eps.ir.relison.content.index.structure.positional.PositionsIterator: Obtains the first element before a given position.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedUnweightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedWeightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedUnweightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedWeightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.UndirectedUnweightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.graph.UndirectedWeightedGraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.multigraph.DirectedUnweightedMultigraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.multigraph.DirectedWeightedMultigraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedUnweightedMultigraphTest: Tests the addition of nodes to the graph.
nodeAddition() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedWeightedMultigraphTest: Tests the addition of nodes to the graph.
NODEAUTOLOOPS - Static variable in class es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.sizenormalized.SizeNormalizedCompleteCommunityEdgeGiniGridSearch: Identifier for the variable that indicates if autoloops are allowed or not.
NODEAUTOLOOPS - Static variable in class es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.sizenormalized.SizeNormalizedSemiCompleteCommunityEdgeGiniGridSearch: Identifier for the variable that indicates if autoloops are allowed or not.
nodeBetweenness - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.CompleteDistanceCalculator: Nodes betweenness map.
nodeBetweenness() - Method in class es.uam.eps.ir.relison.metrics.DistanceMetricsTest: Test the betweenness of the nodes.
NodeBetweenness - Class in es.uam.eps.ir.relison.sna.metrics.distance.vertex: Computes the betweenness of the nodes of a graph.
NodeBetweenness(boolean) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.vertex.NodeBetweenness: Constructor.
NodeBetweenness(DistanceCalculator, boolean) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.vertex.NodeBetweenness: Constructor.
NodeBetweennessGridSearch - Class in es.uam.eps.ir.relison.grid.sna.vertex: Grid for the betweenness of a node.
NodeBetweennessGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.NodeBetweennessGridSearch
NODEID - Static variable in class es.uam.eps.ir.relison.links.data.TerrierIndex: Identifier for the id of the nodes in the index.
NODESELFLOOPS - Static variable in class es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.CompleteCommunityEdgeGiniGridSearch: Identifier for the variable that indicates if selfloops are allowed or not.
NODESELFLOOPS - Static variable in class es.uam.eps.ir.relison.grid.sna.comm.global.gini.edge.SemiCompleteCommunityEdgeGiniGridSearch: Identifier for the variable that indicates if selfloops are allowed or not.
NoIndexException - Exception in es.uam.eps.ir.relison.content.index.exceptions: Exception for the case when an index does not exist
NoIndexException(String) - Constructor for exception es.uam.eps.ir.relison.content.index.exceptions.NoIndexException: Constructor.
NoLinksGraphGenerator - Class in es.uam.eps.ir.relison.graph.generator: Class for generating graphs without links.
NoLinksGraphGenerator() - Constructor for class es.uam.eps.ir.relison.graph.generator.NoLinksGraphGenerator
NOMINAL - es.uam.eps.ir.relison.links.data.letor.FeatureType: Constant for defining a nominal (discrete) type of feature.
NOMINAL - es.uam.eps.ir.relison.links.data.ml.features.FeatureType: Indicates that the feature can only take some fixed values.
NominalStats - Class in es.uam.eps.ir.relison.links.data.letor: Statistics values for nominal features.
NominalStats() - Constructor for class es.uam.eps.ir.relison.links.data.letor.NominalStats: Constructor.
NOMORENEW - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Identifier for stopping simulation when no more new pieces are created.
NoMoreNewPropagatedInfoStopCondition - Class in es.uam.eps.ir.relison.diffusion.stop: Uses as the end of the simulation the fact that no information has been seen by users in the last iteration.
NoMoreNewPropagatedInfoStopCondition() - Constructor for class es.uam.eps.ir.relison.diffusion.stop.NoMoreNewPropagatedInfoStopCondition
NoMoreNewStopConditionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.stop: Configures an stop condition that establishes that the diffusion ends when no new information is propagated.
NoMoreNewStopConditionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.stop.NoMoreNewStopConditionConfigurator
NOMOREPROP - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Identifier for stopping simulation when no pieces are propagated.
NoMorePropagatedInfoStopCondition - Class in es.uam.eps.ir.relison.diffusion.stop: Uses as the end of the simulation the fact that no information has been propagated in the last iteration.
NoMorePropagatedInfoStopCondition() - Constructor for class es.uam.eps.ir.relison.diffusion.stop.NoMorePropagatedInfoStopCondition
NoMorePropagatedStopConditionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.stop: Configures an stop condition that establishes that the diffusion ends when no more information is propagated.
NoMorePropagatedStopConditionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.stop.NoMorePropagatedStopConditionConfigurator
NOMORETIME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Identifier for stopping simulation when no more timestamps are available.
NOMORETIMENORINFO - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Identifier for stopping simulation when no more timestamps are available or no information is propagated.
NoMoreTimestampsNorPropInfoStopCondition - Class in es.uam.eps.ir.relison.diffusion.stop: Stop condition: When the last timestamp has appeared, then, stop.
NoMoreTimestampsNorPropInfoStopCondition() - Constructor for class es.uam.eps.ir.relison.diffusion.stop.NoMoreTimestampsNorPropInfoStopCondition
NoMoreTimestampsNorPropInfoStopConditionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.stop: Configures an stop condition that finishes the diffusion procedure as it reaches the timestamp of the last propagated information piece (according to the diffusion timestamps of a real procedure), and no more information is propagated.
NoMoreTimestampsNorPropInfoStopConditionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.stop.NoMoreTimestampsNorPropInfoStopConditionConfigurator
NoMoreTimestampsStopCondition - Class in es.uam.eps.ir.relison.diffusion.stop: Stop condition: when the last timestamp has appeared, then, stop.
NoMoreTimestampsStopCondition() - Constructor for class es.uam.eps.ir.relison.diffusion.stop.NoMoreTimestampsStopCondition
NoMoreTimestampsStopConditionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.stop: Configures an stop condition that finishes the diffusion procedure as it reaches the timestamp of the last propagated information piece (according to the diffusion timestamps of a real procedure).
NoMoreTimestampsStopConditionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.stop.NoMoreTimestampsStopConditionConfigurator
NONE - Static variable in class es.uam.eps.ir.relison.diffusion.selections.SelectionConstants: Value for selecting that no information pieces of the corresponding type will be propagated.
NONINFINITEDISTANCES - es.uam.eps.ir.relison.sna.metrics.distance.modes.ASLMode: The average is computed over all the non infinite distances.
NONINFINITEDISTANCES - Static variable in class es.uam.eps.ir.relison.grid.sna.graph.ASLGridSearch: Identifier for the harmonic mean mode
noNorm() - Static method in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.Normalizers: It does not apply any normalization.
NoNormalizer - Class in es.uam.eps.ir.relison.links.recommendation.reranking.normalizer: Normalizer that does not transform the data at all.
NoNormalizer() - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.NoNormalizer
NonReciprocalPreferentialAttachment - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Non Reciprocal Preferential Attachment recommender.
NonReciprocalPreferentialAttachment(FastGraph, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.NonReciprocalPreferentialAttachment: Constructor for recommendation mode.
norm - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker: Supplier for the normalization strategy.
norm - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: True if the scores have to be normalized, false if not.
norm - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker: The normalization algorithm to apply.
norm - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker: Function for normalizing the scores.
norm - Variable in class es.uam.eps.ir.relison.utils.datatypes.Vector: Norm of the vector
norm() - Method in class es.uam.eps.ir.relison.utils.datatypes.Vector: Computes the norm of the vector.
norm(double, Stats) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.AlternativeGiniFastGreedy: Normalizes scores, following a Min-Max convention.
norm(I, double) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.MinMaxNormalizer
norm(I, double) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.NoNormalizer
norm(I, double) - Method in interface es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.Normalizer: Given an item-value pair, it computes the normalized value.
norm(I, double) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.RanksimNormalizer
norm(I, double) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.ZScoreNormalizer
norm(Tuple2od) - Method in interface es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.Normalizer: Given an item-value pair, it computes the normalized value.
NORM - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.NodeBetweennessGridSearch: Identifier of the value indicating whether to normalize the scores of the nodes or not.
norm2map - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.knn.sim.UpdateableGraphCosineSimilarity: A map for storing the norms.
normalize - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: True if the patterns have to be normalized.
normalize - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: Indicates if attributes have to be normalized or not.
normalize - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.pair.EdgeBetweenness: Indicates whether the betweenness has to be normalized or not.
normalize - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.vertex.NodeBetweenness: Indicates whether we have to normalize the value of the metric or not.
normalize(Recommendation<Long, Long>, String) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.MLFeatureGenerator: Normalizes a recommendation.
normalize(List<DoubleMatrix1D>, int) - Method in class es.uam.eps.ir.relison.sna.community.clustering.KMeans: Given a group of vectors, normalizes them, so each coordinate has mean equal to 0 and variance equal to 1.
normalize(Map<L, Double>, String) - Static method in class es.uam.eps.ir.relison.examples.links.recommendation.MLFeatureGenerator: Normalizes a map of values.
NORMALIZE - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.EdgeBetweennessGridSearch
NORMALIZEDCUTSPECTRAL - Static variable in class es.uam.eps.ir.relison.grid.community.CommunityDetectionIdentifiers: Identifier of the Normalized Cut Spectral Clustering community detection approach.
NormalizedCutSpectralClustering - Class in es.uam.eps.ir.relison.sna.community.detection.modularity.balanced: Community detection algorithm for balanced communities.
NormalizedCutSpectralClustering(int) - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.NormalizedCutSpectralClustering: Constructor.
NormalizedCutSpectralClusteringConfigurator - Class in es.uam.eps.ir.relison.grid.community.modularity.balanced: Configurator for the Spectral Clustering community detection based on minimizing the normalized cut.
NormalizedCutSpectralClusteringConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.community.modularity.balanced.NormalizedCutSpectralClusteringConfigurator
Normalizer - Interface in es.uam.eps.ir.relison.links.recommendation.reranking.normalizer: Interface for normalization.
Normalizers - Class in es.uam.eps.ir.relison.links.recommendation.reranking.normalizer: Examples of normalizers.
Normalizers() - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.normalizer.Normalizers
normVectors - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.AverageCosineSimilarity: Norm of the vectors which represent the authorities
normVectors - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.CentroidCosineSimilarity: Norms of the vectors.
normVectors - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.MaximumCosineSimilarity: Norms of the vectors.
notInTrain(FastGraph) - Static method in class es.uam.eps.ir.relison.links.recommendation.SocialFastFilters: Prevents recommenders from recommending links which are not in the training set.
notProp - Variable in class es.uam.eps.ir.relison.diffusion.selections.LooseTimestampBasedSelectionMechanism: Map containing, for each user, the information pieces which should have been propagated in the past (originated in other users), but have not been propagated yet, because the piece was not previously received.
notReciprocal(FastGraph, GraphIndex) - Static method in class es.uam.eps.ir.relison.links.recommendation.SocialFastFilters: Prevents recommenders from recommending reciprocal links.
notReciprocal(Graph) - Static method in class es.uam.eps.ir.relison.links.linkprediction.filter.LinkPredFastFilters: Filter that only allows pairs of nodes whose reciprocal does not exist.
notSelf() - Static method in class es.uam.eps.ir.relison.links.linkprediction.filter.LinkPredFastFilters: Filter that does not allow predicting autoloops.
notSelf(FastGraph) - Static method in class es.uam.eps.ir.relison.links.recommendation.SocialFastFilters: Prevents recommenders from recommending users to themselves.
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker: Returns the novelty score of an item.
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.InterCommunityDegreeGiniComplement.CommGiniUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.InterCommunityEdgeGiniComplement.CommPairGiniUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.InverseCommunitySizeReranker.InverseCommunityPopularityUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.WeakTies.ModularityUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.OriginalDirectEdgeMetricReranker.OriginalDirectGraphMetricEdgeReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.OriginalInverseEdgeMetricReranker.OriginalInverseGraphMetricEdgeReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.ProgressiveDirectEdgeMetricReranker.ProgressiveDirectGraphMetricEdgeReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.edge.ProgressiveInverseEdgeMetricReranker.ProgressiveInverseGraphMetricEdgeReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.ClusteringCoefficientComplement.ClusteringCoefficientUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.DirectGraphMetricReranker.DirectGraphMetricUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.InverseGraphMetricReranker.DirectGraphMetricUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.OriginalDirectUserMetricReranker.OriginalDirectUserMetricUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.OriginalInverseUserMetricReranker.OriginalInverseUserMetricUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.ProgressiveDirectUserMetricReranker.ProgressiveDirectUserMetricUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.ProgressiveInverseUserMetricReranker.ProgressiveInverseUserMetricUserReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker: Finds the novelty score for a user-item pair.
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: Novelty score.
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalRandomReranker
nov(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker: Computes the novelty score of an edge.
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.InterCommunityDegreeGiniComplement
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.InterCommunityEdgeGiniComplement
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.InverseCommunitySize
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.ModularityComplement
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge.DirectEdgeMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge.InverseEdgeMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph.ClusteringCoefficientComplement
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph.DirectGraphMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph.InverseGraphMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user.OriginalDirectUserMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user.OriginalInverseUserMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user.ProgressiveDirectUserMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.user.ProgressiveInverseUserMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities.InterCommunityDegreeGiniComplement
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities.InterCommunityEdgeGiniComplement
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities.InverseCommunitySize
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities.StrongTiesReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.communities.WeakTiesReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.OriginalDirectEdgeMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.OriginalInverseEdgeMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.ProgressiveDirectEdgeMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.ProgressiveInverseEdgeMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph.ClusteringCoefficientComplement
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph.DirectGraphMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph.InverseGraphMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user.OriginalDirectUserMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user.OriginalInverseUserMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user.ProgressiveDirectUserMetricReranker
nov(U, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.user.ProgressiveInverseUserMetricReranker
nov(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.degree.AbstractCommunityDegreeGiniComplement
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AbstractCommunityEdgeGiniComplement
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AlternativeSemiCompleteCommunityEdgeGiniComplement
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.OuterAlternativeSemiCompleteCommunityEdgeGiniComplement
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedCompleteCommunityEdgeGiniComplement
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedInterCommunityEdgeGiniComplement
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedSemiCompleteCommunityEdgeGiniComplement
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractHeuristicNeighborOverlapReranker
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractNeighborOverlapReranker
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker
novAdd(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker: Computes the novelty if an edge is added to the graph
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.degree.AbstractCommunityDegreeGiniComplement
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AbstractCommunityEdgeGiniComplement
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AlternativeSemiCompleteCommunityEdgeGiniComplement
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.OuterAlternativeSemiCompleteCommunityEdgeGiniComplement
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedCompleteCommunityEdgeGiniComplement
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedInterCommunityEdgeGiniComplement
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedSemiCompleteCommunityEdgeGiniComplement
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractHeuristicNeighborOverlapReranker
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractNeighborOverlapReranker
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker
novAddDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker: Computes the novelty if an edge is replaced by other
novAddDeleteDirected(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractHeuristicNeighborOverlapReranker: Computes the embededness in a directed graph (adding and deleting an edge)
novAddDeleteDirected(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractNeighborOverlapReranker: Computes the embededness in a directed graph (adding and deleting an edge)
novAddDeleteUndirected(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractHeuristicNeighborOverlapReranker: Computes the embededness in a directed graph (adding and deleting an edge)
novAddDeleteUndirected(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractNeighborOverlapReranker: Computes the embededness in an undirected graph (adding and deleting an edge)
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.degree.AbstractCommunityDegreeGiniComplement
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AbstractCommunityEdgeGiniComplement
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AlternativeSemiCompleteCommunityEdgeGiniComplement
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.OuterAlternativeSemiCompleteCommunityEdgeGiniComplement
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedCompleteCommunityEdgeGiniComplement
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedInterCommunityEdgeGiniComplement
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedSemiCompleteCommunityEdgeGiniComplement
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractHeuristicNeighborOverlapReranker
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.AbstractNeighborOverlapReranker
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.DegreeGiniReranker
novDelete(U, Tuple2od, Tuple2od) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.GraphSwapReranker: Computes the novelty if an edge is removed from the graph
novelty - Variable in class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ItemNoveltyMetric: item novelty model.
novMap - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker: For each pair user-item, their associated novelty
novMap - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: Map containing the novelty of the items.
novMap - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker: Novelty of the items.
novMap - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker: Map of the novelty of each item.
novStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker: Statistics for the novelty scores
novStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker: Statistics for the novelty scores
novStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.SwapLambdaReranker: Statistics for the novelty scores.
novStats - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker.LambdaUserReranker: Statistics about novelty scores.
numberSimulations() - Method in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Obtains the number of available simulations.
numComms - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AlternativeSemiCompleteCommunityEdgeGiniComplement: The number of communities.
numComms - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.OuterAlternativeSemiCompleteCommunityEdgeGiniComplement: The number of different communities.
NUMCOMMS - Static variable in class es.uam.eps.ir.relison.grid.sna.comm.global.GlobalCommunityMetricIdentifiers: Identifier for the number of communities.
NumCommunities - Class in es.uam.eps.ir.relison.sna.metrics.communities.graph: Metric that finds the number of communities of a graph.
NumCommunities() - Constructor for class es.uam.eps.ir.relison.sna.metrics.communities.graph.NumCommunities
NumCommunitiesGridSearch - Class in es.uam.eps.ir.relison.grid.sna.comm.global: Grid search for the metric that finds the number of communities in a graph.
NumCommunitiesGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.comm.global.NumCommunitiesGridSearch
numConfigs() - Method in class es.uam.eps.ir.relison.grid.Configurations: Obtains the number of different configurations.
NUMCONT - Static variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: Number of parameters in .
numDiscarded - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Number of discarded information pieces
numDiscardingUsers - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Number of users which have discarded, at least, one information piece.
numDocs() - Method in interface es.uam.eps.ir.relison.content.index.DocumentMap: Obtains the number of contents.
numDocs() - Method in class es.uam.eps.ir.relison.content.index.individual.WrapperIndividualContentIndex
numDocs() - Method in class es.uam.eps.ir.relison.content.index.individual.WrapperIndividualForwardContentIndex
numDocs() - Method in class es.uam.eps.ir.relison.content.index.lucene.LuceneIndex
numEdges - Variable in class es.uam.eps.ir.relison.graph.edges.fast.FastEdges: Current number of edges.
numEdges - Variable in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastMultiEdges: Number of edges.
numEdges - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.ModularityComplement: The number of edges of the user graph.
numEdges - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.WeakTies.ModularityUserReranker: The number of edges of the user graph.
numEdges() - Method in class es.uam.eps.ir.relison.metrics.GraphMetricsTest: Tests the number of edges of the graph
NumEdges - Class in es.uam.eps.ir.relison.sna.metrics.graph: Computes the number of edges in the graph.
NumEdges() - Constructor for class es.uam.eps.ir.relison.sna.metrics.graph.NumEdges
NUMEDGES - Static variable in class es.uam.eps.ir.relison.grid.sna.graph.GraphMetricIdentifiers: Identifier for number of edges metric.
NumEdgesGridSearch - Class in es.uam.eps.ir.relison.grid.sna.graph: Grid for the number of edges of the graph.
NumEdgesGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.graph.NumEdgesGridSearch
numEdgesIter - Variable in class es.uam.eps.ir.relison.graph.generator.random.BarabasiGenerator: Number of new edges created each iteration.
numElements - Variable in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: The total number of items.
numFeats - Variable in class es.uam.eps.ir.relison.links.data.letor.FeatureInformation: Number of different features.
numFeats() - Method in class es.uam.eps.ir.relison.links.data.letor.FeatureInformation: The number of features.
numFeatures() - Method in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData
numFeatures() - Method in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData
numFeatures(I) - Method in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData
numFeatures(U) - Method in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData
numFeaturesWithItems() - Method in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData
numFeaturesWithItems() - Method in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData
numFeatureValues(String) - Method in class es.uam.eps.ir.relison.diffusion.data.Data: Gets the number of possible values for a certain parameter.
numFilled() - Method in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller
numFilled() - Method in interface es.uam.eps.ir.relison.links.recommendation.filler.Filler: Number of elements filled.
numFirst() - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation
numFirst() - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation
numFirst() - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation
numFirst() - Method in interface es.uam.eps.ir.relison.index.Relation: Gets the total number of elements of the first item in the relation.
numFirst(int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation
numFirst(int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation
numFirst(int) - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation
numFirst(int) - Method in interface es.uam.eps.ir.relison.index.Relation: Gets the total number of elements of the first item related to a second item.
numInformationPieces() - Method in class es.uam.eps.ir.relison.diffusion.data.Data: Obtains the number of information pieces.
NumInformationPiecesFilter - Class in es.uam.eps.ir.relison.diffusion.data.filter: Filter that limits the maximum number of information pieces that a single user can have.
NumInformationPiecesFilter(int) - Constructor for class es.uam.eps.ir.relison.diffusion.data.filter.NumInformationPiecesFilter: Constructor.
NumInformationPiecesFilterConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.filter: Configures filter which only leaves a fixed number of information pieces for each user to propagate.
NumInformationPiecesFilterConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.NumInformationPiecesFilterConfigurator
numInstances - Variable in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceSet: The total number of instances.
numInstances - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: The number of patterns.
numItems() - Method in interface es.uam.eps.ir.relison.links.data.GraphIndex
numItems() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numItems() - Method in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData
numItems() - Method in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData
numItems() - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.fast.AbstractFastUpdateableRecommender
numItems() - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.UpdateableFactorization
numItems(int) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData
numItems(int) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData
numItems(int) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numItems(I) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numItems(Integer) - Method in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData
numItems(String) - Method in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData
numItemsWithFeatures() - Method in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData
numItemsWithFeatures() - Method in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData
numItemsWithPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData
numItemsWithPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData
numItemsWithPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numIter - Variable in class es.uam.eps.ir.relison.diffusion.simulation.Simulator: The current iteration.
numIter - Variable in class es.uam.eps.ir.relison.graph.generator.random.BarabasiGenerator: Number of iterations
numIter - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.ALSUpdateableFactorizer: Number of iterations.
NUMITER - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.NumIterStopConditionConfigurator: Identifier for the number of iterations.
NUMITER - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Identifier for stopping simulation after a fixed number of iterations.
NUMITER - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf.FastImplicitMFGridSearch: Number of iterations for the algorithm
NUMITER - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf.ImplicitMFGridSearch: Number of iterations for the algorithm
NUMITER - Static variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.HITS: Number of iterations.
numIterations - Variable in class es.uam.eps.ir.relison.diffusion.simulation.Simulation: Total number of iterations in the simulation.
NumIterStopCondition - Class in es.uam.eps.ir.relison.diffusion.stop: Stops after a given number of iterations.
NumIterStopCondition(int) - Constructor for class es.uam.eps.ir.relison.diffusion.stop.NumIterStopCondition: Constructor.
NumIterStopConditionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.stop: Configures an stop condition that finishes the diffusion procedure after a fixed number of iterations.
NumIterStopConditionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.stop.NumIterStopConditionConfigurator
numNodes - Variable in class es.uam.eps.ir.relison.graph.generator.CompleteGraphGenerator: Number of nodes of the generated graphs.
numNodes - Variable in class es.uam.eps.ir.relison.graph.generator.NoLinksGraphGenerator: Number of nodes of the generated graphs.
numNodes - Variable in class es.uam.eps.ir.relison.graph.generator.random.ErdosGenerator: Number of nodes of the graph.
numNodes - Variable in class es.uam.eps.ir.relison.graph.generator.random.WattsStrogatzGenerator: Indicates the number of nodes of the generated graph.
numObjects - Variable in class es.uam.eps.ir.relison.index.fast.FastIndex: Number of objects.
numObjects() - Method in class es.uam.eps.ir.relison.index.fast.FastIndex
numObjects() - Method in interface es.uam.eps.ir.relison.index.Index: Index size.
numOwn - Variable in class es.uam.eps.ir.relison.diffusion.selections.CountSelectionMechanism: Number of own information pieces to propagate for each user and iteration.
numOwn - Variable in class es.uam.eps.ir.relison.diffusion.selections.RecommenderSelectionMechanism: Number of own information pieces to propagate for each user and iteration.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.BidirectionalRumorSpreadingModelConfigurator: Identifier for the number of own information pieces to propagate each iteration.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.CountThresholdModelConfigurator: Identifier for the number of own pieces to propagate each iteration
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.IndependentCascadeModelConfigurator: Identifier for the number of own information pieces to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProportionThresholdModelConfigurator: Identifier for the number of own pieces to propagate each iteration
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.PullModelConfigurator: Identifier for the number of own information pieces to propagate each iteration.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.PushModelConfigurator: Identifier for the number of own information pieces to propagate each iteration.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.RumorSpreadingModelConfigurator: Identifier for the number of own information pieces to propagate each iteration.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.SimpleConfigurator: Identifier for the number of own pieces to propagate each iteration.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.AllRealPropagatedSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.BatchRecommenderSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountRealPropagatedSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountThresholdSelectionConfigurator: Identifier for the number of own elements to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.IndependentCascadeModelSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedCountThresholdSelectionConfigurator: Identifier for the number of own elements to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedProportionThresholdSelectionConfigurator: Identifier for the number of own elements to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.OnlyOwnSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.ProportionThresholdSelectionConfigurator: Identifier for the number of own elements to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.PullPushSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.PureRecommenderSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.RecommenderSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMOWN - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.TimestampOrderedSelectionConfigurator: Identifier for the number of own pieces of information to propagate.
NUMPIECES - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterIdentifiers: Identifier for the filter that indicates a maximum number of pieces that a single user might have.
NUMPIECES - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.NumInformationPiecesFilterConfigurator: Identifier for the field for retrieving the number of pieces.
numPreferences - Variable in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData: The number of preferences.
numPreferences - Variable in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData: Current number of preferences.
numPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData
numPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData
numPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numProp - Variable in class es.uam.eps.ir.relison.diffusion.selections.Selection
numPropagate - Variable in class es.uam.eps.ir.relison.diffusion.selections.CountSelectionMechanism: Number of received information to propagate for each user and iteration.
numPropagate - Variable in class es.uam.eps.ir.relison.diffusion.selections.RecommenderSelectionMechanism: Number of received information to propagate for each user and iteration.
numPropagated - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Number of propagated information pieces
numPropagated() - Method in class es.uam.eps.ir.relison.diffusion.selections.Selection: The total number of pieces of information to be propagated/repropagated.
numPropagatingUsers - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Number of users which have propagated, at least, one information piece
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.BidirectionalRumorSpreadingModelConfigurator: Identifier for the number of received information pieces to propagate each iteration.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProportionThresholdModelConfigurator: Identifier for the number of pieces to repropagate each iteration
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.PullModelConfigurator: Identifier for the number of received information pieces to propagate each iteration.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.PushModelConfigurator: Identifier for the number of received information pieces to propagate each iteration.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.RumorSpreadingModelConfigurator: Identifier for the number of received information pieces to propagate each iteration.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.SimpleConfigurator: Identifier for the number of received pieces to propagate each iteration.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.BatchRecommenderSelectionConfigurator: Identifier for the number of received pieces to propagate.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountRealPropagatedSelectionConfigurator: Identifier for the number of received pieces to propagate.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountSelectionConfigurator: Identifier for the number of received pieces of information to propagate.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedCountThresholdSelectionConfigurator: Identifier for the number of elements to repropagate.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedProportionThresholdSelectionConfigurator: Identifier for the number of elements to repropagate.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.PureRecommenderSelectionConfigurator: Identifier for the number of received pieces to propagate.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.RecommenderSelectionConfigurator: Identifier for the number of received pieces to propagate.
NUMREC - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.TimestampOrderedSelectionConfigurator: Identifier for the number of received pieces of information to propagate.
numReceivingUsers - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Number of users which have read, at least, a new information piece.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.AllRealPropagatedSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.BatchRecommenderSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountRealPropagatedSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountThresholdSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.IndependentCascadeModelSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedCountThresholdSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedProportionThresholdSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.OnlyOwnSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.ProportionThresholdSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.PureRecommenderSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.RecommenderSelectionConfigurator: Identifier for the number of received pieces to propagate.
NUMREPR - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.TimestampOrderedSelectionConfigurator: Identifier for the number of propagated pieces of information to repropagate.
numRepropagate - Variable in class es.uam.eps.ir.relison.diffusion.selections.CountSelectionMechanism: Number of information pieces to repropagate for each user and iteration.
numRepropagate - Variable in class es.uam.eps.ir.relison.diffusion.selections.RecommenderSelectionMechanism: Number of already propagated information to repropagate for each user and iteration.
numReReceived - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Total re-read information pieces for the whole set of users.
numReReceivingUsers - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Number of users which have read, at least, one information piece which they had read in a previous iteration.
numSecond() - Method in interface es.uam.eps.ir.relison.index.AutoRelation: Gets the total number of elements of the first item in the relation.
numSecond() - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation
numSecond() - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedPairwiseRelation
numSecond() - Method in interface es.uam.eps.ir.relison.index.Relation: Gets the total number of elements of the second item in the relation.
numSecond(int) - Method in interface es.uam.eps.ir.relison.index.AutoRelation: Gets the total number of elements of the second item related to a first item.
numSecond(int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation
numSecond(int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation
numSecond(int) - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation
numSecond(int) - Method in interface es.uam.eps.ir.relison.index.Relation: Gets the total number of elements of the second item related to a first item.
numSeen - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Total newly observed pieces for the whole set of users.
numSight - Variable in class es.uam.eps.ir.relison.diffusion.sight.CountSightMechanism: Number of pieces of information that a user sees in a single iteration.
NUMSIGHT - Static variable in class es.uam.eps.ir.relison.grid.diffusion.sight.CountSightConfigurator: Identifier for the number of seen information pieces
numSum - Variable in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: The main term of the Gini index.
numTotal() - Method in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller
numTotal() - Method in interface es.uam.eps.ir.relison.links.recommendation.filler.Filler: Number of total elements in the recommendation.
numTriads - Variable in class es.uam.eps.ir.relison.sna.metrics.pair.ClusteringCoefficientIncrement: The current number of triads.
numTrials - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.Infomap: Number of trials.
NUMTRIALS - Static variable in class es.uam.eps.ir.relison.grid.community.modularity.InfomapConfigurator: Identifier for the maximum number of iterations of the most external loop.
NUMTRIALS - Static variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.Infomap: Pre-fixed number of trials.
numTriangles - Variable in class es.uam.eps.ir.relison.sna.metrics.pair.ClusteringCoefficientIncrement: The current number of triangles
numTweets - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.NumInformationPiecesFilter: The maximum number of information pieces to retrieve from each user.
numUniqueReReceived - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Sum of the number of unique re-read information pieces of each user.
numUniqueSeen - Variable in class es.uam.eps.ir.relison.diffusion.simulation.SimpleIteration: Sum of the number of different newly observed pieces by each user
numUsers - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.BM25Similarity: Number of users.
numUsers - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.BM25: Number of users in the network.
numUsers - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.communities.InverseCommunitySizeReranker.InverseCommunityPopularityUserReranker: The number of users.
numUsers - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.ir.UpdateableBM25: Number of users in the network.
numUsers() - Method in class es.uam.eps.ir.relison.diffusion.data.Data: Obtain the number of users in the simulation.
numUsers() - Method in class es.uam.eps.ir.relison.links.data.FastGraphIndex
numUsers() - Method in class es.uam.eps.ir.relison.links.data.updateable.index.fast.FastUpdateableGraphIndex
numUsers() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numUsers() - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.fast.AbstractFastUpdateableRecommender
numUsers() - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.UpdateableFactorization
numUsers(int) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData
numUsers(int) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData
numUsers(int) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numUsers(U) - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numUsersWithPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.GraphSimpleUpdateableFastPreferenceData
numUsersWithPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.SimpleFastUpdateablePreferenceData
numUsersWithPreferences() - Method in class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData
numValues - Variable in class es.uam.eps.ir.relison.links.data.letor.NominalStats: Number of different values for the attribute.

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