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dc.contributor.authorHuang, Chung-Yuanen_US
dc.contributor.authorSun, Chuen-Tsaien_US
dc.contributor.authorCheng, Chia-Yingen_US
dc.contributor.authorHsieh, Ji-Lungen_US
dc.date.accessioned2014-12-08T15:14:22Z-
dc.date.available2014-12-08T15:14:22Z-
dc.date.issued2007-04-01en_US
dc.identifier.issn0378-4371en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.physa.2006.11.014en_US
dc.identifier.urihttp://hdl.handle.net/11536/10967-
dc.description.abstractAcknowledging the expanding role of complex networks in numerous scientific contexts, we examine significant functional and topological differences between bridge and brick motifs for predicting network behaviors and functions. After observing similarities between social networks and their genetic, ecological, and engineering counterparts, we identify a larger number of brick motifs in social networks and bridge motifs in the other three types. We conclude that bridge and brick motif content analysis can assist researchers in understanding the small-world and clustering properties of network structures when investigating network functions and behaviors. (c) 2006 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectsmall-world propertiesen_US
dc.subjectclusteringen_US
dc.subjectnetwork motifen_US
dc.subjectcomplex networken_US
dc.subjectstrong/weak-tie linken_US
dc.titleBridge and brick motifs in complex networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.physa.2006.11.014en_US
dc.identifier.journalPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONSen_US
dc.citation.volume377en_US
dc.citation.issue1en_US
dc.citation.spage340en_US
dc.citation.epage350en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000244359900036-
dc.citation.woscount6-
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