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• W1493136078 abstract "Complex networks have always been a hot research topic in recent years. In addition to some statistic properties such as scale-free nature, small-world property, modularity is another characteristic common to many types of complex networks. Detecting modular (or community) structure of complex networks is an important but challenging task, where quantitative measures for evaluating the modularity of networks play critical roles. In this paper, we make an analytic comparison of two existing modularity measures for network community detection based on opti- mization techniques, which can provide insights on their applications in real networks." @default.
• W1493136078 created "2016-06-24" @default.
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• W1493136078 date "2008-01-01" @default.
• W1493136078 modified "2023-09-27" @default.
• W1493136078 title "Optimization analysis of modularity measures for network community detection" @default.
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