By studying varies dynamical processes, including coupled maps, cellularautomata and coupled differential equations, on five different kinds of knownnetworks, we found a positive relation between signal correlation and node'sdegree. Thus a method of identifying influential nodes in dynamical systems isproposed, its validity is studied, and potential applications on real systemsare discussed.
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