Local-world evolving networks with tunable clustering

Details Local-world evolving networks with tunable clustering Local-world evolving networks with tunable clustering

2005-05-24

arxiv.org/abs/cond-mat/0505589v2

Physica A 380 (2007) 639-650

Physics

Condensed Matter

Statistical Mechanics

18 pages, 6 figures. Accepted for publication in Physica A

Scientific paper

10.1016/j.physa.2007.02.045

We propose an extended local-world evolving network model including a triad formation step. In the process of network evolution, random fluctuation in the number of new edges is involved. We derive analytical expressions for degree distribution, clustering coefficient and average path length. Our model can unify the generic properties of real-life networks: scale-free degree distribution, high clustering and small inter-node separation. Moreover, in our model, the clustering coefficient is tunable simply by changing the expected number of triad formation steps after a single local preferential attachment step.

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