English

Expanded Complex Networks and their Percolations

Statistical Mechanics 2007-05-23 v3 Disordered Systems and Neural Networks

Abstract

Given a complex network, its \emph{L-}paths correspond to sequences of L+1L+1 distinct nodes connected through LL distinct edges. The \emph{L-}conditional expansion of a complex network can be obtained by connecting all its pairs of nodes which are linked through at least one \emph{L-}path, and the respective conditional \emph{L-}expansion of the original network is defined as the intersection between the original network and its \emph{L-}expansion. Such expansions are verified to act as filters enhancing the network connectivity, consequently contributing to the identification of communities in small-world models. It is shown in this paper for L=2 and 3, in both analytical and experimental fashion, that an evolving complex network with fixed number of nodes undergoes successive phase transitions -- the so-called \emph{L-}percolations, giving rise to Eulerian giant clusters. It is also shown that the critical values of such percolations are a function of the network size, and that the networks percolates for L=3 before L=2.

Keywords

Cite

@article{arxiv.cond-mat/0312712,
  title  = {Expanded Complex Networks and their Percolations},
  author = {Luciano da Fontoura Costa},
  journal= {arXiv preprint arXiv:cond-mat/0312712},
  year   = {2007}
}

Comments

4 pages, 4 figures. Revised version