Effects of degree correlation on the controllability of networks
Effects of degree correlation on the controllability of networks
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DOI：
10.1016/j.physa.2008.06.041
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发表时间：
2008-10
影响因子：
3.3
通讯作者：
Q. Miao;Zhihai Rong;Yang Tang;Jian-an Fang
中科院分区：
文献类型：
--
作者：
Q. Miao;Zhihai Rong;Yang Tang;Jian-an Fang
本文在仿真分析的基础上，研究了程度相关对不同程度混合模式的无向网络可控性的影响。考虑随机钉钉、最大钉钉和混合钉钉，详细讨论了控制增益和钉钉节点数等与可控性的相关因素。研究发现，与分类混合相比，分类混合增强了网络的可控性，网络的可控性对分类混合是敏感的。此外，反馈增益过大或过小都会降低系统的可控性。从实际应用的角度来看，在配类网络中建议采用混合度钉钉策略，而在非配类网络中，最大度钉钉方案优于随机钉钉方案。
In this paper, we investigate the effects of degree correlation on the controllability of undirected networks with different degree-mixing patterns based on simulation analysis. Considering random pinning, max-degree pinning and mix-degree pinning, some relevance factors on controllability such as the control gain and the number of pinned nodes are discussed in detail. It is found that disassortative mixing enhances the network controllability contrast to assortative mixing, to which the network controllability is sensible. Furthermore, too large or too low value of the feedback gain can reduce the controllability. From the viewpoint of practical application, mix-degree pinning strategy is suggested in assortative network, while in disassortative network, max-degree pinning scheme is better than random pinning.