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2013
We propose an algorithm for the detection of communities in networks. The algorithm exploits degree and clustering coefficient of vertices as these metrics characterize dense connections, which, we hypothesize, are indicative of communities. Each vertex, independently, seeks the community to which it belongs by visiting its neighbour vertices and ...
Yi Song, Stéphane Bressan
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We propose an algorithm for the detection of communities in networks. The algorithm exploits degree and clustering coefficient of vertices as these metrics characterize dense connections, which, we hypothesize, are indicative of communities. Each vertex, independently, seeks the community to which it belongs by visiting its neighbour vertices and ...
Yi Song, Stéphane Bressan
openaire +1 more source
2019
Community structure is one of the universal and significant properties of social networks and these structures can reveal the some functional and dynamical features of online social networks by detecting the community structures of such complex networks. In this chapter, we give a brief review on recent studies for social community detection; introduce
Alireza Rezvanian +4 more
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Community structure is one of the universal and significant properties of social networks and these structures can reveal the some functional and dynamical features of online social networks by detecting the community structures of such complex networks. In this chapter, we give a brief review on recent studies for social community detection; introduce
Alireza Rezvanian +4 more
openaire +1 more source
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Descriptive Community Detection
2017Subgroup discovery and community detection are standard approaches for identifying (cohesive) subgroups. This paper presents an organized picture of recent research in descriptive community (and subgroup) detection. Here, it summarizes approaches for the identification of descriptive patterns targeting both static and dynamic (sequential) relations. We
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