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

Preprint

10 June 2003

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.cond-mat/0306255

Abstract

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.

Keywords

COEFFICIENTS IN BARABASI
BARABASI ALBERT NETWORKS
CLUSTERING COEFFICIENTS
NUMERICAL SIMULATIONS
MEAN FIELD

All Related Versions

Version 1, 2003-06-10, ArXiv
Published version: Physical Review E, 68 (4), 046126.

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