Pinning Complex Dynamical Networks with Local Betweeness Centrality Information
In this paper, we propose a local-betweenness-centrality (LBC)-based pinning strategy to stabilize undirected complex networked systems. Through two kinds of static real-world networks, the UAS airline routing map and the protein-protein interaction network, we show that the LBC-based pinning strategy, which only using the local information around the first and second neighbors of a focal vertex, can obtain the similar pinning efficiency with the betweenness-centrality (BC)-based pinning strategy that containing the global information of vertices’ traffic flow. Furthermore, for the evolving network, the AS-level Internet topology, we find that when the sampling period is short (such as every half a month), the LBC-based pinning strategy is better than the degree-based and BC-based pinning strategies, however, as the sampling period enlarges, the former scheme is inefficient.
JIA Zhen LI Xiang RONG Zhihai
Department of Electronic Engineering, Fudan University,Shanghai 200433, P.R.China Department of Automation, Donghua University, Shanghai 201620, P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）