Interdependence of dynamical signals and topology: Detecting the influential nodes in networks

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dc.creatorYang, Lei
dc.creatorHuang, Liang
dc.creatorZhang, Yong
dc.creatorYang, Kongqing
dc.date2005-05-10
dc.date.accessioned2026-07-07T03:05:08Z
dc.date.available2026-07-07T03:05:08Z
dc.descriptionBy 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.
dc.description4 pages, 7 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0505236
dc.identifierhttp://arxiv.org/abs/cond-mat/0505236
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/26341
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleInterdependence of dynamical signals and topology: Detecting the influential nodes in networks
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