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On quantitatively measuring controllability of complex networks

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  • Cai, Ning

Abstract

This paper deals with controllability of complex networks. An index is chosen to quantitatively measure controllability of given network. The effect of this index is analyzed mainly based on empirical studies on various classes of network topologies, such as random network, small-world network, and scale-free network. Such an endeavor could help to enable the comparison of controllability between different network topologies.

Suggested Citation

  • Cai, Ning, 2017. "On quantitatively measuring controllability of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 282-292.
    • Handle: RePEc:eee:phsmap:v:474:y:2017:i:c:p:282-292
    DOI: 10.1016/j.physa.2017.01.053
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    References listed on IDEAS

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    1. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    2. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2012. "Control Centrality and Hierarchical Structure in Complex Networks," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    3. Cai, Ning & Cao, Jun-Wei & Khan, M. Junaid, 2015. "Almost decouplability of any directed weighted network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 637-645.
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    Cited by:

    1. Guo, Tianjiao & Tu, Lilan & Guo, Yifei & Hu, Jia & Su, Qingqing, 2023. "Control-capacity analysis and optimized construction for controlled interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 616(C).

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