Module org.jgrapht.core
Package org.jgrapht.alg.linkprediction

Class JaccardCoefficientLinkPrediction<V,E>

java.lang.Object
org.jgrapht.alg.linkprediction.JaccardCoefficientLinkPrediction<V,E>
Type Parameters:
V - the graph vertex type
E - the graph edge type
All Implemented Interfaces:
LinkPredictionAlgorithm<V,E>
public class JaccardCoefficientLinkPrediction<V,E> extends Object implements LinkPredictionAlgorithm<V,E>
Predict links using the Jaccard coefficient.

This is a local method which computes $s_{xy} = \frac{|\Gamma(u)\cap\Gamma(v))|}{|\Gamma(u)\cup\Gamma(v))|}$ where for a node $v$, $\Gamma(v)$ denotes the set of neighbors 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.
Author:
Dimitrios Michail

  • Constructor Details

    • JaccardCoefficientLinkPrediction

      public JaccardCoefficientLinkPrediction(Graph<V,E> graph)
      Create a new prediction
      Parameters:
      graph - the input graph

  • Method Details

    • predict

      public double predict(V u, V v)
      Description copied from interface: LinkPredictionAlgorithm
      Predict an edge between two vertices. The magnitude and the interpretation of the returned score depend solely on the algorithm.
      Specified by:
      predict in interface LinkPredictionAlgorithm<V,E>
      Parameters:
      u - first vertex
      v - second vertex
      Returns:
      a prediction score