Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevE.80.046102
DC FieldValue
dc.titleWeak signal transmission in complex networks and its application in detecting connectivity
dc.contributor.authorLiang, X.
dc.contributor.authorLiu, Z.
dc.contributor.authorLi, B.
dc.date.accessioned2014-10-16T09:48:43Z
dc.date.available2014-10-16T09:48:43Z
dc.date.issued2009-10-06
dc.identifier.citationLiang, X., Liu, Z., Li, B. (2009-10-06). Weak signal transmission in complex networks and its application in detecting connectivity. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 80 (4) : -. ScholarBank@NUS Repository. https://doi.org/10.1103/PhysRevE.80.046102
dc.identifier.issn15393755
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/98577
dc.description.abstractWe present a network model of coupled oscillators to study how a weak signal is transmitted in complex networks. Through both theoretical analysis and numerical simulations, we find that the response of other nodes to the weak signal decays exponentially with their topological distance to the signal source and the coupling strength between two neighboring nodes can be figured out by the responses. This finding can be conveniently used to detect the topology of unknown network, such as the degree distribution, clustering coefficient and community structure, etc., by repeatedly choosing different nodes as the signal source. Through four typical networks, i.e., the regular one dimensional, small world, random, and scale-free networks, we show that the features of network can be approximately given by investigating many fewer nodes than the network size, thus our approach to detect the topology of unknown network may be efficient in practical situations with large network size. © 2009 The American Physical Society.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1103/PhysRevE.80.046102
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.description.doi10.1103/PhysRevE.80.046102
dc.description.sourcetitlePhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
dc.description.volume80
dc.description.issue4
dc.description.page-
dc.description.codenPLEEE
dc.identifier.isiut000271350700008
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