203 citations · 223 across the 5 of their papers we have counts for
5 papers
Detecting network communities beyond assortativity-related attributes
Xin Liu, Tsuyoshi Murata, Ken Wakita
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 indiv…
A framework for community detection in heterogeneous multi-relational networks
Xin Liu, Weichu Liu, Tsuyoshi Murata +1
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…
Extending modularity by capturing the similarity attraction feature in the null model
Xin Liu, Tsuyoshi Murata, Ken Wakita
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 net…
Finding Community Structure in Mega-scale Social Networks
Ken Wakita, Toshiyuki Tsurumi
Community analysis algorithm proposed by Clauset, Newman, and Moore (CNM algorithm) finds community structure in social networks. Unfortunately, CNM algorithm does not scale well a…
Systematic Debugging of Attribute Grammars
Yohei Ikezoe, Akira Sasaki, Yoshiki Ohshima +2
Although attribute grammars are commonly used for compiler construction, little investigation has been conducted on debugging attribute grammars. The paper proposes two types of sy…