Node similarity is the basic principle behind connectivity in complex networks

Physics – Physics and Society

Scientific paper

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8 pages, 4 figures

Scientific paper

Who is connecting to whom in social communities? A popular belief is that preferential attachment to a highly connected network-node is an adequate model for real networks. By contrast, this work reveals that node similarity is the fundamental mechanism that gives complex networks its typical scale-free power-law characteristics. Additionally, it turns out that power-law node-degree distributions are restricted to only sparsely connected communities. More densely connected communities show an increasing divergence from power-law. A similarity model as proposed in this work, covers the full observed diversity of real networks and hence explains the topological transition from weakly to strongly connected societies.

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