Optimization based modeling of social network = 최적화 방법을 통한 사회연결망 모형의 구현

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dc.contributor.advisorJeong, Ha-Woong-
dc.contributor.advisor정하웅-
dc.contributor.authorAhn, Yong-Yeol-
dc.contributor.author안용렬-
dc.date.accessioned2011-12-14T07:57:33Z-
dc.date.available2011-12-14T07:57:33Z-
dc.date.issued2003-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=179990&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/48639-
dc.description학위논문(석사) - 한국과학기술원 : 물리학과, 2003.2, [ iv, 25 p. ]-
dc.description.abstractWe classify networks with two categories: functional networks and non-functional networks. Biological networks and artificial networks belong to the functional network and Social networks belong to non-functional networks. In the evolution of non-functional networks, the clustering coefficient plays a crucial role. We model the non-functional network with optimization of clustering coefficient. In result, hubs and power-law degree distribution emerge in the optimization process. Power-law decay in clustering coefficient distribution implies hierarchical organization.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectnetwork-
dc.subject사회-
dc.subject군집계수-
dc.subject최적화-
dc.subject무척도-
dc.subject연결망-
dc.subjectsocial-
dc.subjectscale-free-
dc.subjectoptimization-
dc.subjectclustering-
dc.titleOptimization based modeling of social network = 최적화 방법을 통한 사회연결망 모형의 구현-
dc.typeThesis(Master)-
dc.identifier.CNRN179990/325007-
dc.description.department한국과학기술원 : 물리학과, -
dc.identifier.uid020013333-
dc.contributor.localauthorAhn, Yong-Yeol-
dc.contributor.localauthor안용렬-
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PH-Theses_Master(석사논문)
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