Interdependence of dynamical signals and topology: Detecting the influential nodes in networks
Lei Yang, Liang Huang, Yong Zhang, Kongqing Yang
Abstract
By studying varies dynamical processes, including coupled maps, cellular automata and coupled differential equations, on five different kinds of known networks, we found a positive relation between signal correlation and node's degree. Thus a method of identifying influential nodes in dynamical systems is proposed, its validity is studied, and potential applications on real systems are discussed.
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