the small community phenomenon in networks: models, algorithms and applications

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	the small community phenomenon in networks: models, algorithms and applications
	Peng Pan
	2012
会议名称	9th Annual Conference on Theory and Applications of Models of Computation, TAMC 2012
会议日期	May 16, 2012 - May 21, 2012
会议地点	Beijing, China
页码	40-49
中文摘要	We survey a recent new line of research on the small community phenomenon in networks, which characterizes the intuition and observation that in a broad class of networks, a significant fraction of nodes belong to some small communities. We propose the formal definition of this phenomenon as well as the definition of communities, based on which we are able to both study the community structure of network models, i.e., whether a model exhibits the small community phenomenon or not, and design new models that embrace this phenomenon in a natural way while preserving some other typical network properties such as the small diameter and the power law degree distribution. We also introduce the corresponding community detection algorithms, which not only are used to identify true communities and confirm the existence of the small community phenomenon in real networks but also have found other applications, e.g., the classification of networks and core extraction of networks. © 2012 Springer-Verlag.
英文摘要	We survey a recent new line of research on the small community phenomenon in networks, which characterizes the intuition and observation that in a broad class of networks, a significant fraction of nodes belong to some small communities. We propose the formal definition of this phenomenon as well as the definition of communities, based on which we are able to both study the community structure of network models, i.e., whether a model exhibits the small community phenomenon or not, and design new models that embrace this phenomenon in a natural way while preserving some other typical network properties such as the small diameter and the power law degree distribution. We also introduce the corresponding community detection algorithms, which not only are used to identify true communities and confirm the existence of the small community phenomenon in real networks but also have found other applications, e.g., the classification of networks and core extraction of networks. © 2012 Springer-Verlag.
收录类别	EI
会议主办者	State Key Laboratory of Computer Science; Chinese Academy of Sciences, Institute of Software; Chinese Academy of Sciences
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
语种	英语
ISSN号	0302-9743
ISBN号	9783642299513
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/15731]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Peng Pan. the small community phenomenon in networks: models, algorithms and applications[C]. 见:9th Annual Conference on Theory and Applications of Models of Computation, TAMC 2012. Beijing, China. May 16, 2012 - May 21, 2012.