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/*
 * (C) Copyright 2020-2021, by Dimitrios Michail and Contributors.
 *
 * JGraphT : a free Java graph-theory library
 *
 * See the CONTRIBUTORS.md file distributed with this work for additional
 * information regarding copyright ownership.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Eclipse Public License 2.0 which is available at
 * http://www.eclipse.org/legal/epl-2.0, or the
 * GNU Lesser General Public License v2.1 or later
 * which is available at
 * http://www.gnu.org/licenses/old-licenses/lgpl-2.1-standalone.html.
 *
 * SPDX-License-Identifier: EPL-2.0 OR LGPL-2.1-or-later
 */
package org.jgrapht.alg.linkprediction;

import java.util.HashSet;
import java.util.List;
import java.util.Objects;
import java.util.Set;

import org.jgrapht.Graph;
import org.jgrapht.Graphs;
import org.jgrapht.alg.interfaces.LinkPredictionAlgorithm;
import org.jgrapht.alg.util.Pair;

/**
 * Predict links using the Salton Index, also called the cosine similarity.
 * 
 * 

* This is a local method which computes $s_{xy} = \frac{|\Gamma(u)\cap\Gamma(v))|}{\sqrt{k(u) * \times k(v)}}$ where for a node $v$, $\Gamma(v)$ denotes the set of neighbors of $v$ and $k(v) = * |\Gamma(v)|$ denotes the degree of $v$. *

* * See the following two papers: *
    *
  • Liben‐Nowell, David, and Jon Kleinberg. "The link‐prediction problem for social networks." * Journal of the American society for information science and technology 58.7 (2007): * 1019-1031.
  • *
  • Zhou, Tao, Linyuan Lü, and Yi-Cheng Zhang. "Predicting missing links via local information." * The European Physical Journal B 71.4 (2009): 623-630.
  • *
* * @param the graph vertex type * @param the graph edge type * * @author Dimitrios Michail */ public class SaltonIndexLinkPrediction implements LinkPredictionAlgorithm { private Graph graph; /** * Create a new prediction * * @param graph the input graph */ public SaltonIndexLinkPrediction(Graph graph) { this.graph = Objects.requireNonNull(graph); } @Override public double predict(V u, V v) { int du = graph.outDegreeOf(u); int dv = graph.outDegreeOf(v); if (du == 0 || dv == 0) { throw new LinkPredictionIndexNotWellDefinedException( "Query vertex with zero neighbors", Pair.of(u, v)); } List gu = Graphs.successorListOf(graph, u); List gv = Graphs.successorListOf(graph, v); Set intersection = new HashSet<>(gu); intersection.retainAll(gv); return (double) intersection.size() / Math.sqrt(du * dv); } }




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