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Knotty-centrality: finding the connective core of a complex network.

ABSTRACT: A network measure called knotty-centrality is defined that quantifies the extent to which a given subset of a graph's nodes constitutes a densely intra-connected topologically central connective core. Using this measure, the knotty centre of a network is defined as a sub-graph with maximal knotty-centrality. A heuristic algorithm for finding subsets of a network with high knotty-centrality is presented, and this is applied to previously published brain structural connectivity data for the cat and the human, as well as to a number of other networks. The cognitive implications of possessing a connective core with high knotty-centrality are briefly discussed.

SUBMITTER: Shanahan M

PROVIDER: S-EPMC3348887 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Knotty-centrality: finding the connective core of a complex network.

Shanahan Murray M Wildie Mark M

PloS one 20120509 5

A network measure called knotty-centrality is defined that quantifies the extent to which a given subset of a graph's nodes constitutes a densely intra-connected topologically central connective core. Using this measure, the knotty centre of a network is defined as a sub-graph with maximal knotty-centrality. A heuristic algorithm for finding subsets of a network with high knotty-centrality is presented, and this is applied to previously published brain structural connectivity data for the cat an ...[more]

PMID: 22590571

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