Self-organized Model for Modular Complex Networks : Division and Independence

Details Self-organized Model for Modular Complex Networks : Division and Independence Self-organized Model for Modular Complex Networks : Division and Independence

2003-10-10

arxiv.org/abs/cond-mat/0310233v1

Physics

Condensed Matter

Statistical Mechanics

4 pages, 5 figures

Scientific paper

We introduce a minimal network model which generates a modular structure in a self-organized way. To this end, we modify the Barabasi-Albert model into the one evolving under the principle of division and independence as well as growth and preferential attachment (PA). A newly added vertex chooses one of the modules composed of existing vertices, and attaches edges to vertices belonging to that module following the PA rule. When the module size reaches a proper size, the module is divided into two, and a new module is created. The karate club network studied by Zachary is a prototypical example. We find that the model can reproduce successfully the behavior of the hierarchical clustering coefficient of a vertex with degree k, C(k), in good agreement with empirical measurements of real world networks.

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