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H
- HALFLIFE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExponentialDecayExpirationConfigurator
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Identifier for the half life of the expiration of an information piece.
- HARMONIC - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers
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Identifier for the harmonic centrality metric.
- HarmonicCentrality<U> - Class in es.uam.eps.ir.relison.sna.metrics.distance.vertex
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Metric that computes the harmonic centrality of the nodes (a version of closeness that uses the harmonic mean of the distances from the target node to the rest of nodes in the network.
- HarmonicCentrality() - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.vertex.HarmonicCentrality
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Basic constructor.
- HarmonicCentrality(DistanceCalculator<U>) - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.vertex.HarmonicCentrality
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Constructor.
- HarmonicCentralityGridSearch<U> - Class in es.uam.eps.ir.relison.grid.sna.vertex
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Grid for the harmonic centrality of a node.
- HarmonicCentralityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.HarmonicCentralityGridSearch
- HARMONICMEAN - es.uam.eps.ir.relison.sna.metrics.distance.modes.ClosenessMode
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Closeness is computed as the harmonic mean of the distances.
- hasAdjacentEdges(int) - Method in interface es.uam.eps.ir.relison.graph.edges.Edges
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Checks if a node has adjacent edges.
- hasAdjacentEdges(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastEdges
- hasAdjacentEdges(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastMultiEdges
- hasAdjacentEdges(int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdges
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Checks if a node has adjacent edges.
- hasAdjacentNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.complementary.ComplementaryGraph
- hasAdjacentNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.jung.JungGraph
- hasAdjacentNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
- hasAdjacentNeighbors(V) - Method in class es.uam.eps.ir.relison.graph.fast.AbstractFastGraph
- hasAdjacentNeighbors(V) - Method in interface es.uam.eps.ir.relison.graph.Graph
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Checks if the user has adjacent edges or not.
- hasEdges(int) - Method in interface es.uam.eps.ir.relison.graph.edges.Edges
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Checks if a node has adjacent or incident edges.
- hasEdges(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastEdges
- hasEdges(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastMultiEdges
- hasEdges(int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdges
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Checks if a node has adjacent or incident edges.
- hasFirsts(int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation
- hasFirsts(int) - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation
- hasFirsts(int) - Method in interface es.uam.eps.ir.relison.index.Relation
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Checks whether the second element has relations with some first element.
- hashCode() - Method in class es.uam.eps.ir.relison.diffusion.data.FastUser
- hashCode() - Method in class es.uam.eps.ir.relison.diffusion.data.Feature
- hashCode() - Method in class es.uam.eps.ir.relison.diffusion.data.Information
- hashCode() - Method in class es.uam.eps.ir.relison.diffusion.simulation.UserState
- hashCode() - Method in class es.uam.eps.ir.relison.utils.datatypes.CompTuple2oo
- hashCode() - Method in class es.uam.eps.ir.relison.utils.datatypes.Tuple2oo
- hasIncidentEdges(int) - Method in interface es.uam.eps.ir.relison.graph.edges.Edges
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Checks if a node has incident edges.
- hasIncidentEdges(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastEdges
- hasIncidentEdges(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastMultiEdges
- hasIncidentEdges(int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdges
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Checks if a node has incident edges.
- hasIncidentNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.complementary.ComplementaryGraph
- hasIncidentNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.jung.JungGraph
- hasIncidentNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
- hasIncidentNeighbors(V) - Method in class es.uam.eps.ir.relison.graph.fast.AbstractFastGraph
- hasIncidentNeighbors(V) - Method in interface es.uam.eps.ir.relison.graph.Graph
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Checks if the user has incident edges or not.
- hasMutualEdges(int) - Method in interface es.uam.eps.ir.relison.graph.edges.Edges
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Checks if a node has mutual edges.
- hasMutualEdges(int) - Method in class es.uam.eps.ir.relison.graph.edges.fast.FastEdges
- hasMutualEdges(int) - Method in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastMultiEdges
- hasMutualEdges(int) - Method in interface es.uam.eps.ir.relison.graph.multigraph.edges.MultiEdges
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Checks if a node has mutual edges.
- hasMutualNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.complementary.ComplementaryGraph
- hasMutualNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.jung.JungGraph
- hasMutualNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
- hasMutualNeighbors(V) - Method in class es.uam.eps.ir.relison.graph.fast.AbstractFastGraph
- hasMutualNeighbors(V) - Method in interface es.uam.eps.ir.relison.graph.Graph
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Checks if the user has mutual edges.
- hasNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.complementary.ComplementaryGraph
- hasNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.jung.JungGraph
- hasNeighbors(U) - Method in class es.uam.eps.ir.relison.graph.multigraph.fast.AbstractFastMultiGraph
- hasNeighbors(V) - Method in class es.uam.eps.ir.relison.graph.fast.AbstractFastGraph
- hasNeighbors(V) - Method in interface es.uam.eps.ir.relison.graph.Graph
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Checks if the user shares at least an edge with other user.
- hasNeighbors(V, EdgeOrientation) - Method in interface es.uam.eps.ir.relison.graph.Graph
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Checks if the user has neighbors.
- hasNext() - Method in class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneFreqVectorIterator
- hasNext() - Method in class es.uam.eps.ir.relison.content.index.structure.lucene.LucenePostingsIterator
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Checks if we can advance the iterator.
- hasNext() - Method in class es.uam.eps.ir.relison.content.index.structure.positional.PositionsIterator
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Indicates whether the list has a next position.
- hasSeconds(int) - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation
- hasSeconds(int) - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation
- hasSeconds(int) - Method in interface es.uam.eps.ir.relison.index.Relation
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Checks whether the first element has relations with some second element.
- hdi() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest
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Hub Depressed Index algorithm
- HDI - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers
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Identifier for the Hub Depressed Index algorithm.
- HeuristicAverageEmbeddednessRerankerGridSearch<U> - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge
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Grid search for a reranker that optimizes the average embeddedness of the graph using heuristic approximations.
- HeuristicAverageEmbeddednessRerankerGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.HeuristicAverageEmbeddednessRerankerGridSearch
- HeuristicAverageWeaknessRerankerGridSearch<U> - Class in es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge
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Grid search for a reranker that optimizes the average weakness of the graph using heuristic approximations.
- HeuristicAverageWeaknessRerankerGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.HeuristicAverageWeaknessRerankerGridSearch
- HEURISTICAVGEMBEDDEDNESS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers
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Identifier for the swap reranker promoting average embeddedness with heuristics.
- HEURISTICAVGWEAKNESS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerIdentifiers
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Identifier for the swap reranker promoting average weakness with heuristics.
- HeuristicEmbedednessReranker<U> - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge
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Swap reranker for optimizing the embeddedness of the graph.
- HeuristicEmbedednessReranker(double, int, Supplier<Normalizer<U>>, Graph<U>, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.HeuristicEmbedednessReranker
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Constructor
- HeuristicWeaknessReranker<U> - Class in es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge
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Swap reranker for optimizing the embeddedness of the graph.
- HeuristicWeaknessReranker(double, int, Supplier<Normalizer<U>>, Graph<U>, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.edge.HeuristicWeaknessReranker
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Constructor
- HITS<U> - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk
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Hiperlink-Induced Topic Search (HITS) recommender.
- HITS<U> - Class in es.uam.eps.ir.relison.sna.metrics.vertex
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Computes the HITS values of the different nodes in a graph.
- HITS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers
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Identifier for the HITS algorithm.
- HITS - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers
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Identifier for the HITS score.
- HITS(boolean) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.HITS
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Constructor for not personalized PageRank.
- HITS(FastGraph<U>, boolean) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.HITS
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Constructor.
- hitsAuthorities() - Method in class es.uam.eps.ir.relison.metrics.complementarymetrics.VertexMetricsTest
- HITSGridSearch<U> - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks
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Grid search generator for the HITS algorithm.
- HITSGridSearch<U> - Class in es.uam.eps.ir.relison.grid.sna.vertex
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Grid for the HITS value of a node.
- HITSGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.HITSGridSearch
- HITSGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.HITSGridSearch
- hitsHubs() - Method in class es.uam.eps.ir.relison.metrics.complementarymetrics.VertexMetricsTest
- HITTING - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers
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Identifier for the hitting time (PageRank-based) algorithm.
- HITTINGPERS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers
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Identifier for the hitting time (personalized PageRank-based) algorithm.
- hittingTime - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.CommuteTime
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A hitting time implementation.
- HittingTimeGridSearch<U> - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks
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Grid search generator for PageRank algorithm.
- HittingTimeGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.HittingTimeGridSearch
- HittingTimePersPageRankGridSearch<U> - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks
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Grid search generator for PageRank algorithm.
- HittingTimePersPageRankGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.randomwalks.HittingTimePersPageRankGridSearch
- HKVUpdateableFactorizer<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.updateable.mf.als
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Implicit matrix factorization of Hu, Koren and Volinsky.
- HKVUpdateableFactorizer(double, double, DoubleUnaryOperator, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.HKVUpdateableFactorizer
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Constructor.
- HKVUpdateableFactorizer(double, DoubleUnaryOperator, int) - Constructor for class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.HKVUpdateableFactorizer
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Constructor.
- hpi() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest
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Hub Promoted Index algorithm
- HPI - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers
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Identifier for the Hub Promoted Index algorithm.
- HubDepressedIndex<U> - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf
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Recommender that uses the hub depressed index of the neighbors: given the number of common neighbors between two users, the recommendation score is divided by the size of either the target user or the candidate user: the user with a larger number of them.
- HubDepressedIndex(FastGraph<U>, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.HubDepressedIndex
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Constructor.
- HubDepressedIndexGridSearch<U> - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf
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Grid search generator for Hub Depressed Index (HDI) algorithm.
- HubDepressedIndexGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf.HubDepressedIndexGridSearch
- hubIdx - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.AverageCosineSimilarity
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Identifiers of the hubs
- hubIdx - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.CentroidCosineSimilarity
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Identifiers of the hubs.
- hubIdx - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.MaximumCosineSimilarity
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Identifiers of the hubs.
- HubPromotedIndex<U> - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf
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Recommender that uses the hub depressed index of the neighbors: given the number of common neighbors between two users, the recommendation score is divided by the size of either the target user or the candidate user: the user with a smaller number of them.
- HubPromotedIndex(FastGraph<U>, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.HubPromotedIndex
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Constructor.
- HubPromotedIndexGridSearch<U> - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf
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Grid search generator for Hub Promoted Index (HPI) algorithm.
- HubPromotedIndexGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.foaf.HubPromotedIndexGridSearch
- hubs - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.BipartiteRecommender
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A map between the hubs identifiers and their true representation (the node in the original graph).
- hubs - Variable in class es.uam.eps.ir.relison.sna.metrics.vertex.HITS
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Hubs values.
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