Optimizing complex networks controllability by local structure information

Houyi Yan, Lvlin Hou (), Yunxiang Ling () and Guohua Wu ()
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Houyi Yan: Science and Technology on Information Systems, Engineering Laboratory, National University of Defense Technology, Changsha 410073, P. R. China
Lvlin Hou: The Logistics Academy, Beijing 100858, P. R. China
Yunxiang Ling: Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu 610213, P. R. China
Guohua Wu: Science and Technology on Information Systems, Engineering Laboratory, National University of Defense Technology, Changsha 410073, P. R. China

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 10, 1-11

Abstract: Research in network controllability has mostly been focused on the effects of the network structure on its controllability, and some methods have been proposed to optimize the network controllability. However, they are all based on global structure information of networks. We propose two different types of methods to optimize controllability of a directed network by local structure information. Extensive numerical simulation on many modeled networks demonstrates that this method is effective. Since the whole topologies of many real networks are not visible and we only get some local structure information, this strategy is potentially more practical.

Keywords: Controllability; complex networks; local structure; edge direction (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1142/S0129183116501151

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