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Universal framework for edge controllability of complex network


Abstract Dynamical processes occurring on the edges in complex networks are relevant to a variety of real-world situations. Despite recent advances, a framework for edge controllability is still required for complex networks of arbitrary structure and interaction strength. Generalizing a previously introduced class of processes for edge dynamics, the switchboard dynamics, and exploit- ing the exact controllability theory, we develop a universal framework in which the controllability of any node is exclusively determined by its local weighted structure. This framework enables us to identify a unique set of critical nodes for control, to derive analytic formulas and articulate efficient algorithms to determine the exact upper and lower controllability... (more)
Created Date 2017-06-26
Contributor Pang, Shao-Peng (Author) / Wang, Wen-Xu (ASU author) / Hao, Fei (Author) / Lai, Ying-Cheng (ASU author) / Arizona State University. School of Electrical, Computer and Energy Engineering / Arizona State University. Department of Physics
Series SCIENTIFIC REPORTS
Type Text
Extent 12 pages
Language English
Identifier DOI: 10.1038/s41598-017-04463-5 / ISSN: 2045-2322
Rights
Citation Pang, S., Wang, W., Hao, F., & Lai, Y. (2017). Universal framework for edge controllability of complex networks. Scientific Reports, 7(1). doi:10.1038/s41598-017-04463-5
Note The final version of this article, as published in Scientific Report, can be viewed online at: https://www.nature.com/articles/s41598-017-04463-5
Collaborating Institutions ASU Libraries
Additional Formats MODS / OAI Dublin Core / RIS


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