Identifying overlapping communities in social networks using multi-scale local information expansion
نویسندگان
چکیده
منابع مشابه
Identifying overlapping communities in social networks using multi-scale local information expansion
Most existing approaches for community detection require complete information of the graph in a specific scale, which is impractical for many social networks. We propose a novel algorithm that does not embrace the universal approach but instead of trying to focus on local social ties and modeling multi-scales of social interactions occurring in those networks. Our method for the first time opti...
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Complex networks can be typically broken down into groups or modules. Discovering this “community structure” is an important step in studying the large-scale structure of networks. Many algorithms have been proposed for community detection and benchmarks have been created to evaluate their performance. Typically algorithms for community detection either partition the graph (nonoverlapping commu...
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Identifying communities is essential for understanding the dynamics of a social network. The prevailing approach to the problem of community discovery is to partition the network into disjoint groups of members that exhibit a high degree of internal communication. This approach ignores the possibility that an individual may belong to two or more groups. Increasingly, researchers have begun to e...
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ژورنال
عنوان ژورنال: The European Physical Journal B
سال: 2012
ISSN: 1434-6028,1434-6036
DOI: 10.1140/epjb/e2012-30015-5