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dc.contributor.authorHuang, Chung-Yuanen_US
dc.contributor.authorCheng, Chia-Yingen_US
dc.contributor.authorSun, Chuen-Tsaien_US
dc.date.accessioned2014-12-08T15:49:05Z-
dc.date.available2014-12-08T15:49:05Z-
dc.date.issued2008en_US
dc.identifier.isbn978-3-540-78581-1en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/32620-
dc.description.abstractTo better reflect actual human interactions in social network models, the authors take a bottom-up, agent-based modeling and network-oriented simulation approach to analyzing acquaintance network evolution based on local interaction rules. Resources and remembering are considered in addition to common friends, meeting by chance, and leaving and arriving. Based on these factors, friendships that have been established and built up can be strengthened, weakened, or broken up. Using computer simulations, Results from a series of experiments indicate that (a) network topology statistics, especially average degree of nodes, are irrelevant to parametric distributions because they rely on average values for initial parameters; and (b) resource, remembering, and initial friendship all raise the average number of friends and lower both degree of clustering and separation. These findings indicate a strong need for a bottom-up, agent-based modeling and network-oriented simulation approach to social network research, one that stresses interactive rules and experimental simulations.en_US
dc.language.isoen_USen_US
dc.subjectresourceen_US
dc.subjectrememberingen_US
dc.subjectacquaintance networksen_US
dc.subjectsocial networksen_US
dc.subjectsmall worlden_US
dc.subjectindividual interactionen_US
dc.titleResource and remembering influences on acquaintance networksen_US
dc.typeProceedings Paperen_US
dc.identifier.journalAGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGSen_US
dc.citation.volume4953en_US
dc.citation.spage281en_US
dc.citation.epage291en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000254510100029-
Appears in Collections:Conferences Paper