Effects of random rewiring on the degree correlation of scale-free networks.
Random rewiring is used to generate null networks for the purpose of analyzing the topological properties of scale-free networks, yet the effects of random rewiring on the degree correlation are subject to contradicting interpretations in the literature. We comprehensively analyze the degree correlation of randomly rewired scale-free networks and show that random rewiring increases disassortativity by reducing the average degree of the nearest neighbors of high-degree nodes. The effect can be captured by the measures of the degree correlation that consider all links in the network, but not by analogous measures that consider only links between degree peers, hence the potential for contradicting interpretations. We furthermore find that random and directional rewiring affect the topology of a scale-free network differently, even if the degree correlation of the rewired networks is the same. Consequently, the network dynamics is changed, which is proven here by means of the biased random walk.
School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Jing
J
Qu
School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Sheng-Jun
SJ
Wang
Faculty of Sciences, Kyushu University, Fukuoka 819-0395, Japan.
Marko
M
Jusup
Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan.|School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Zhen
Z
Wang
D000465:Algorithms; D008962:Models, Theoretical