The percolation transition in correlated hypergraphs

被引：10

作者：

Bradde, Serena ^{[1
,2
]}

Bianconi, Ginestra ^{[3
]}

机构：

[1] SISSA, I-34014 Trieste, Italy

[2] Ist Nazl Fis Nucl, Trieste, Italy

[3] Abdus Salam Int Ctr Theoret Phys, I-34014 Trieste, Italy

来源：

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT | 2009年

关键词：

random graphs; networks; critical phenomena of socio-economic systems; socio-economic networks; COMPLEX; INTERNET;

D O I：

10.1088/1742-5468/2009/07/P07028

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

Correlations are known to play a crucial role in determining the structure of complex networks. Here we study how their presence affects the computation of the percolation threshold in random hypergraphs. In order to mimic the correlation in real networks, we build hypergraphs from generalized hidden variable ensembles and we study the percolation transition by mapping this problem to the fully connected Potts model with heterogeneous couplings.

引用

页数：9

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