Community detection based on significance optimization in complex networks
نویسندگان
چکیده
منابع مشابه
Community detection based on significance optimization in complex networks
Community structure is an important structural property that extensively exists in various complex networks. In the past decade, much attention has been paid to the design of community-detection methods, but analyzing the behaviors of the methods is also of interest in the theoretical research and real applications. Here, we focus on an important measure for community structure, significance [S...
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Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...
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Community detection is the process of grouping strongly connected nodes in a net-work. Many community detection methods for un-weighted networks have a theoreticalbasis in a null model, which provides an interpretation of resulting communities in termsof statistical significance. In this paper, we introduce a null for sparse weighted networkscalled the continuous configurati...
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community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...
متن کاملCommunity detection based on "clumpiness" matrix in complex networks
The “clumpiness” matrix of a network is used to develop a method to identify its community structure. A “projection space” is constructed from the eigenvectors of the clumpiness matrix and a border line is defined using some kind of angular distance in this space. The community structure of the network is identified using this borderline and/or hierarchical clustering methods. The performance o...
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ژورنال
عنوان ژورنال: Journal of Statistical Mechanics: Theory and Experiment
سال: 2017
ISSN: 1742-5468
DOI: 10.1088/1742-5468/aa6b2c