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

Class 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 Detail

      • JaccardCoefficientLinkPrediction

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

    • Method Detail

      • 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