arXiv · cond-mat/0306255
Mean-field theory for clustering coefficients in Barabasi-Albert networks
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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Agata Fronczak, Piotr Fronczak, Janusz A. Holyst. 2003-06-10. Mean-field theory for clustering coefficients in Barabasi-Albert networks. https://doi.org/10.1103/physreve.68.046126
Cite the original work for its findings. Save a collection to share your selection of sources.