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Controlling Network Dynamics

Author

Listed:
  • AMING LI

    (Department of Zoology, University of Oxford, 11a Mansfield Road, Oxford OX1 3PS, UK2Department of Biochemistry, University of Oxford, 3 South Parks Road, Oxford OX1 3QU, UK)

  • YANG-YU LIU

    (Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA4Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02115, USA)

Abstract

Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex networked systems were harvested from analyzing big empirical data. The associated dynamical processes on complex networks were also heavily studied. In the second decade, more attention was devoted to investigating the control of complex networked systems, ranging from fundamental theories to practical applications. Here we briefly review the recent progress regarding network dynamics and control, mainly concentrating on research questions proposed in the six papers we collected for this topical issue. This review closes with possible research directions along this line, and several important problems to be solved. We expect that, in the near future, network control will play an even bigger role in more fields, helping us understand and control many complex natural and engineered systems.

Suggested Citation

  • Aming Li & Yang-Yu Liu, 2020. "Controlling Network Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(07n08), pages 1-19, February.
    • Handle: RePEc:wsi:acsxxx:v:22:y:2020:i:07n08:n:s0219525919500218
    DOI: 10.1142/S0219525919500218
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    Cited by:

    1. Johannes Rude Jensen & Mohsen Pourpouneh & Kurt Nielsen & Omri Ross, 2021. "The Homogenous Properties of Automated Market Makers," Papers 2105.02782, arXiv.org.

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