Literature DB >> 19391905

Different thresholds of bond percolation in scale-free networks with identical degree sequence.

Zhongzhi Zhang1, Shuigeng Zhou, Tao Zou, Lichao Chen, Jihong Guan.   

Abstract

Generally, the threshold of percolation in complex networks depends on the underlying structural characterization. However, what topological property plays a predominant role is still unknown, despite the speculation of some authors that degree distribution is a key ingredient. The purpose of this paper is to show that power-law degree distribution itself is not sufficient to characterize the threshold of bond percolation in scale-free networks. To achieve this goal, we first propose a family of scale-free networks with the same degree sequence and obtain by analytical or numerical means several topological features of the networks. Then, by making use of the renormalization-group technique we determine the threshold of bond percolation in our networks. We find an existence of nonzero thresholds and demonstrate that these thresholds can be quite different, which implies that power-law degree distribution does not suffice to characterize the percolation threshold in scale-free networks.

Year:  2009        PMID: 19391905     DOI: 10.1103/PhysRevE.79.031110

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Controllability of deterministic networks with the identical degree sequence.

Authors:  Xiujuan Ma; Haixing Zhao; Binghong Wang
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.