Wolfram Language & System 10.3 (2015)|Legacy Documentation
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gives a list of eccentricity centralities for the vertices in the graph g.
uses rules to specify the graph g.
- EccentricityCentrality will give high centralities to vertices that are at short maximum distances to every other reachable vertex.
- EccentricityCentrality for a graph g is given by , where is the maximum distance from vertex to all other vertices connected to .
- The eccentricity centrality for isolated vertices is taken to be zero.
- EccentricityCentrality works with undirected graphs, directed graphs, weighted graphs, multigraphs, and mixed graphs.
- EccentricityCentrality returns a list of non-negative machine numbers ("eccentricity centralities") that approximate particular centrality measures of the vertices of a graph. Eccentricity centrality is a measure of the centrality of a node in a network based on having a small maximum distance from a node to every other reachable node (i.e. the graph eccentricities). This measure has found applications in social networks, transportation, biology, and the social sciences.
- If is the maximum distance from vertex to all other vertices connected to , then the eccentricity centralities are given by . The eccentricity centrality for isolated vertices is taken to be zero. Eccentricity centralities lie between 0 and 1 inclusive.
- The eccentricity centrality of a vertex is the reciprocal of its VertexEccentricity. The full distance matrix of a graph can be computed using GraphDistanceMatrix.
Introduced in 2012
(9.0)| Updated in 2015