Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.physleta.2010.05.072
DC Field | Value | |
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dc.title | Generation of arbitrary two-point correlated directed networks with given modularity | |
dc.contributor.author | Zhou, J. | |
dc.contributor.author | Xiao, G. | |
dc.contributor.author | Wong, L. | |
dc.contributor.author | Fu, X. | |
dc.contributor.author | Ma, S. | |
dc.contributor.author | Cheng, T.H. | |
dc.date.accessioned | 2013-07-04T07:46:12Z | |
dc.date.available | 2013-07-04T07:46:12Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Zhou, J., Xiao, G., Wong, L., Fu, X., Ma, S., Cheng, T.H. (2010). Generation of arbitrary two-point correlated directed networks with given modularity. Physics Letters, Section A: General, Atomic and Solid State Physics 374 (31-32) : 3129-3135. ScholarBank@NUS Repository. https://doi.org/10.1016/j.physleta.2010.05.072 | |
dc.identifier.issn | 03759601 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/39640 | |
dc.description.abstract | In this Letter, we introduce measures of correlation in directed networks and develop an efficient algorithm for generating directed networks with arbitrary two-point correlation. Furthermore, a method is proposed for adjusting community structure in directed networks without changing the correlation. Effectiveness of both methods is verified by numerical results. © 2010 Elsevier B.V. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.physleta.2010.05.072 | |
dc.source | Scopus | |
dc.subject | Directed network | |
dc.subject | Modularity | |
dc.subject | Two-point correlation | |
dc.type | Article | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1016/j.physleta.2010.05.072 | |
dc.description.sourcetitle | Physics Letters, Section A: General, Atomic and Solid State Physics | |
dc.description.volume | 374 | |
dc.description.issue | 31-32 | |
dc.description.page | 3129-3135 | |
dc.description.coden | PYLAA | |
dc.identifier.isiut | 000280452700005 | |
Appears in Collections: | Staff Publications |
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