Generating correlated networks from uncorrelated ones

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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14 pages, 6 figures, Revtex4

Scientific paper

10.1103/PhysRevE.67.046107

In this paper we consider a transformation which converts uncorrelated networks to correlated ones(here by correlation we mean that coordination numbers of two neighbors are not independent). We show that this transformation, which converts edges to nodes and connects them according to a deterministic rule, nearly preserves the degree distribution of the network and significantly increases the clustering coefficient. This transformation also enables us to relate percolation properties of the two networks.

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