Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/5378
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Xu, X | - |
dc.creator | Zhang, J | - |
dc.creator | Small, M | - |
dc.date.accessioned | 2014-12-11T08:25:42Z | - |
dc.date.available | 2014-12-11T08:25:42Z | - |
dc.identifier.issn | 1539-3755 | - |
dc.identifier.uri | http://hdl.handle.net/10397/5378 | - |
dc.language.iso | en | en_US |
dc.publisher | American Physical Society | en_US |
dc.rights | Physical Review E © 2010 The American Physical Society. The Journal's web site is located at http://pre.aps.org/ | en_US |
dc.subject | Complex networks | en_US |
dc.subject | Topology | en_US |
dc.title | Rich-club connectivity dominates assortativity and transitivity of complex networks | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Author name used in this publication: Xiao-Ke Xu | en_US |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 4 | - |
dc.identifier.volume | 82 | - |
dc.identifier.issue | 4 | - |
dc.identifier.doi | 10.1103/PhysRevE.82.046117 | - |
dcterms.abstract | Rich-club, assortativity and clustering coefficients are frequently used measures to estimate topological properties of complex networks. Here we find that the connectivity among a very small portion of the richest nodes can dominate the assortativity and clustering coefficients of a large network, which reveals that the rich-club connectivity is leveraged throughout the network. Our study suggests that more attention should be paid to the organization pattern of rich nodes, for the structure of a complex system as a whole is determined by the associations between the most influential individuals. Moreover, by manipulating the connectivity pattern in a very small rich-club, it is sufficient to produce a network with desired assortativity or transitivity. Conversely, our findings offer a simple explanation for the observed assortativity and transitivity in many real world networks—such biases can be explained by the connectivities among the richest nodes. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Physical review. E, Statistical, nonlinear, and soft matter physics, Oct. 2010, v. 82, no. 4, 046117, p. 1-4 | - |
dcterms.isPartOf | Physical review. E, Statistical, nonlinear, and soft matter physics | - |
dcterms.issued | 2010-10 | - |
dc.identifier.isi | WOS:000283432100002 | - |
dc.identifier.scopus | 2-s2.0-78651345260 | - |
dc.identifier.eissn | 1550-2376 | - |
dc.identifier.rosgroupid | r53159 | - |
dc.description.ros | 2010-2011 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Xu_Rich-club_Connectivity_Networks.pdf | 90.11 kB | Adobe PDF | View/Open |
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