DegreeCentrality

DegreeCentrality[g]
gives a list of vertex degrees for the vertices in the underlying simple graph of g.

DegreeCentrality[g,"In"]
gives a list of vertex in-degrees.

DegreeCentrality[g,"Out"]
gives a list of vertex out-degrees.

DetailsDetails

  • DegreeCentrality will give high centralities to vertices that have high vertex degrees.
  • The vertex degree for a vertex is the number of edges incident to .
  • For a directed graph, the in-degree is the number of incoming edges and the out-degree is the number of outgoing edges.
  • For an undirected graph, in-degree and out-degree coincide.
  • DegreeCentrality works with undirected graphs, directed graphs, multigraphs, and mixed graphs.

Background
Background

  • DegreeCentrality returns a list of nonnegative integers ("degree centralities") that are particular centrality measures of the vertices of a graph. Degree centrality is a measure of the centrality of a node in a network and is defined as the number of edges (including self-loops) that lead into or out of the node. Degree centralities therefore lie between and inclusive, where is the number of vertices in a graph, and identify nodes in the network by their influence on other nodes in their immediate neighborhood. This measure has found applications in social networks, transportation, biology, and the social sciences.
  • A second argument "In" or "Out" can be used to give a list of vertex in- or out-degrees, respectively, which correspond to one another for undirected graphs.
  • DegreeCentrality is a local measure that is equivalent to VertexDegree for simple graphs. Similar centrality measures include EigenvectorCentrality and KatzCentrality.

ExamplesExamplesopen allclose all

Basic Examples  (2)Basic Examples  (2)

Compute degree centralities:

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Highlight:

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Rank vertices. Highest-ranked vertices have the most connections to other vertices:

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Introduced in 2010
(8.0)
| Updated in 2014
(10.0)