… community detection methods for node-attributed social networks. What is more, we propose
a classification of them based on when and how they use and fuse network … social network …

… community structure of the compressed social network, we propagate the community result to
the rest of the social network… algorithm produces high quality communities comparable to or …

… community detection method which includes (1) matrix reconstruction method, (2) spatial
feature extraction method and (3) community detection … a social network for community detection…

… of social network analysis related to community detection and uses … social media data. It
is a self-contained book and covers important topics regarding community detection in social …

… community detection. Specifically, we provide a comprehensive review of the existing community
detection … attributes of social network, eg, user interests, to discover community. Yin et al…

… In this paper, a social network community detection approach of social networks based
on the fuzzy clustering method is proposed. Then, a method of repairing incomplete fuzzy …

… community detection applications in the real world. These scenarios provide horizons for
future community detection … participate in several circles of a social network. The methods for …

… Kivelä’s model takes into account real-life situations, eg, a social network contains relations
among various types, timeline or situations. Each relation set is regarded as an aspect, …

… network, we modify the traditional community detection method and apply it to the transaction
social network to … For the Ethereum network, on the other hand, we define a bipartite social …

… in statistical network community detection as well as the newly emerging research directions
such as community extraction with higher-order features and community discovery in …