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dc.contributor.authorHuang, Chung-Yuanen_US
dc.contributor.authorTsai, Yu-Shiuanen_US
dc.date.accessioned2014-12-08T15:07:33Z-
dc.date.available2014-12-08T15:07:33Z-
dc.date.issued2010-02-01en_US
dc.identifier.issn0378-4371en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.physa.2009.09.038en_US
dc.identifier.urihttp://hdl.handle.net/11536/5937-
dc.description.abstractWe consider two overlooked yet important factors that affect acquaintance network evolution and formation-friend-making resources and remembering-and propose a bottom-up, network-oriented simulation model based on three rules representing human social interactions. Our proposed model reproduces many topological features of real-world acquaintance networks, including a small-world phenomenon and a sharply peaked connectivity distribution feature that mixes power-law and exponential distribution types. We believe that this is an improvement over fieldwork sampling methods that fail to capture acquaintance network node connectivity distributions. Our model may produce valuable results for sociologists working with social opinion formation and epidemiologists studying epidemic dynamics. (C) 2009 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectAcquaintance networksen_US
dc.subjectSocial networksen_US
dc.subjectSmall-world phenomenonen_US
dc.subjectNetwork-oriented simulationsen_US
dc.titleEffects of friend-making resources/costs and remembering on acquaintance networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.physa.2009.09.038en_US
dc.identifier.journalPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONSen_US
dc.citation.volume389en_US
dc.citation.issue3en_US
dc.citation.spage604en_US
dc.citation.epage622en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000272282700027-
dc.citation.woscount5-
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