Mean-field theory for clustering coefficients in Barabasi-Albert networks

Details Mean-field theory for clustering coefficients in Barabasi-Albert networks Mean-field theory for clustering coefficients in Barabasi-Albert networks

2003-06-10

arxiv.org/abs/cond-mat/0306255v1

Phys. Rev. E 68, 046126 (2003)

Physics

Condensed Matter

Statistical Mechanics

8 pages, 3 figures

Scientific paper

10.1103/PhysRevE.68.046126

We applied a mean field approach to study clustering coefficients in Barabasi-Albert networks. We found that the local clustering in BA networks depends on the node degree. Analytic results have been compared to extensive numerical simulations finding a very good agreement for nodes with low degrees. Clustering coefficient of a whole network calculated from our approach perfectly fits numerical data.

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