English

Nested Subgraphs of Complex Networks

Disordered Systems and Neural Networks 2009-11-13 v1 Statistical Mechanics

Abstract

We analytically explore the scaling properties of a general class of nested subgraphs in complex networks, which includes the KK-core and the KK-scaffold, among others. We name such class of subgraphs KK-nested subgraphs due to the fact that they generate families of subgraphs such that ...SK+1(G)SK(G)SK1(G)......S_{K+1}({\cal G})\subseteq S_K({\cal G})\subseteq S_{K-1}({\cal G}).... Using the so-called {\em configuration model} it is shown that any family of nested subgraphs over a network with diverging second moment and finite first moment has infinite elements (i.e. lacking a percolation threshold). Moreover, for a scale-free network with the above properties, we show that any nested family of subgraphs is self-similar by looking at the degree distribution. Both numerical simulations and real data are analyzed and display good agreement with our theoretical predictions.

Keywords

Cite

@article{arxiv.0712.0512,
  title  = {Nested Subgraphs of Complex Networks},
  author = {Bernat Corominas-Murtra and José F. F. Mendes and Ricard V. Solé},
  journal= {arXiv preprint arXiv:0712.0512},
  year   = {2009}
}

Comments

6 pages, 4 figures

R2 v1 2026-06-21T09:50:15.976Z