Qu Jing, Wang Sheng-Jun, Jusup Marko, Wang Zhen
School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710119, China.
Faculty of Sciences, Kyushu University, Fukuoka 819-0395, Japan.
Sci Rep. 2015 Oct 20;5:15450. doi: 10.1038/srep15450.
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.
为了分析无标度网络的拓扑性质,随机重连被用于生成零模型网络,然而随机重连对度相关性的影响在文献中存在相互矛盾的解释。我们全面分析了随机重连的无标度网络的度相关性,结果表明随机重连通过降低高度节点最近邻的平均度来增加网络的异配性。这种效应可以通过考虑网络中所有链接的度相关性度量来捕捉,但不能通过仅考虑度相同节点之间链接的类似度量来捕捉,因此可能会产生相互矛盾的解释。此外,我们发现随机重连和定向重连对无标度网络拓扑的影响不同,即使重连后网络的度相关性相同。因此,网络动力学发生了变化,本文通过有偏随机游走证明了这一点。