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A framework for community detection in heterogeneous multi-relational networks

Autor: Liu, Xin, Liu, Weichu, Murata, Tsuyoshi, Wakita, Ken

Publikováno v: Advances in Complex Systems, 2014

There has been a surge of interest in community detection in homogeneous single-relational networks which contain only one type of nodes and edges. However, many real-world systems are naturally described as heterogeneous multi-relational networks wh

Externí odkaz: http://arxiv.org/abs/1407.4989

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Detecting network communities beyond assortativity-related attributes

Autor: Liu, Xin, Murata, Tsuyoshi, Wakita, Ken

Publikováno v: Physical Review E 90, 012806 (2014)

In network science, assortativity refers to the tendency of links to exist between nodes with similar attributes. In social networks, for example, links tend to exist between individuals of similar age, nationality, location, race, income, educationa

Externí odkaz: http://arxiv.org/abs/1407.4990

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Extending modularity by capturing the similarity attraction feature in the null model

Autor: Liu, Xin, Murata, Tsuyoshi, Wakita, Ken

Modularity is a widely used measure for evaluating community structure in networks. The definition of modularity involves a comparison of within-community edges in the observed network and that number in an equivalent randomized network. This equival

Externí odkaz: http://arxiv.org/abs/1210.4007

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Finding Community Structure in Mega-scale Social Networks

Autor: Wakita, Ken, Tsurumi, Toshiyuki

Community analysis algorithm proposed by Clauset, Newman, and Moore (CNM algorithm) finds community structure in social networks. Unfortunately, CNM algorithm does not scale well and its use is practically limited to networks whose sizes are up to 50

Externí odkaz: http://arxiv.org/abs/cs/0702048

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Systematic Debugging of Attribute Grammars

Autor: Ikezoe, Yohei, Sasaki, Akira, Ohshima, Yoshiki, Wakita, Ken, Sassa, Masataka

Although attribute grammars are commonly used for compiler construction, little investigation has been conducted on debugging attribute grammars. The paper proposes two types of systematic debugging methods, an algorithmic debugging and slice-based d

Externí odkaz: http://arxiv.org/abs/cs/0011029

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