Package es.uam.eps.ir.relison.sna.metrics.vertex

Social network analysis vertex metrics.
  • Class Summary 
    Class Description
    Coreness<U>
    Computes the coreness (or core number) of the nodes.
    Degree<U>
    Computes the degree of a given user in a graph.
    Distance2Degree<U>
    Metric that finds the number of different neighbors at distance 2 from a user.
    EigenvectorCentrality<U>
    Finds the eigenvector centrality of the network, which measures the importance of a node based on the importance of its neighbors.
    FreeDiscovery<U>
    Finds how unpopular the user is in the network.
    HITS<U>
    Computes the HITS values of the different nodes in a graph.
    InverseDegree<U>
    Computes the inverse of the degree of a node.
    KatzCentrality<U>
    Finds the Katz centrality of the nodes, which estimates the importance of a node considering the paths between the node and the rest of the network.
    LocalClusteringCoefficient<U>
    Computes the local clustering coefficient of a node.
    LocalReciprocityRate<U>
    Computes the local reciprocity rate, i.e.
    MatrixBasedVertexMetric<U>
    Vertex metric based on matrices.
    PageRank<U>
    Computes the PageRank values of the different nodes in the graph.
    VertexLength<U>
    Class that measures the length (sum of weights of a selection of the edges concerning it) of a vertex.