Quantifying structure in networks
E. Olbrich (),
T. Kahle,
N. Bertschinger,
N. Ay and
J. Jost
The European Physical Journal B: Condensed Matter and Complex Systems, 2010, vol. 77, issue 2, 239-247
Abstract:
We investigate exponential families of random graph distributions as a framework for systematic quantification of structure in networks. In this paper we restrict ourselves to undirected unlabeled graphs. For these graphs, the counts of subgraphs with no more than k links are a sufficient statistics for the exponential families of graphs with interactions between at most k links. In this framework we investigate the dependencies between several observables commonly used to quantify structure in networks, such as the degree distribution, cluster and assortativity coefficients. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2010
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:eurphb:v:77:y:2010:i:2:p:239-247
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DOI: 10.1140/epjb/e2010-00209-0
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