Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2010-01-08
Physica A 389, 2920 (2010)
Physics
Condensed Matter
Statistical Mechanics
12 pages, 1 figure. To appear in Physica A: Special Issue in honour of Prof. A. N. Berker (2009)
Scientific paper
10.1016/j.physa.2009.12.068
Recent studies introduced biased (degree-dependent) edge percolation as a model for failures in real-life systems. In this work, such process is applied to networks consisting of two types of nodes with edges running only between nodes of unlike type. Such bipartite graphs appear in many social networks, for instance in affiliation networks and in sexual contact networks in which both types of nodes show the scale-free characteristic for the degree distribution. During the depreciation process, an edge between nodes with degrees k and q is retained with probability proportional to (kq)^(-alpha), where alpha is positive so that links between hubs are more prone to failure. The removal process is studied analytically by introducing a generating functions theory. We deduce exact self-consistent equations describing the system at a macroscopic level and discuss the percolation transition. Critical exponents are obtained by exploiting the Fortuin-Kasteleyn construction which provides a link between our model and a limit of the Potts model.
Hooyberghs Hans
Indekeu Joseph O.
Schaeybroeck Bert Van
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