Most community detection methods use network topology and edge density to identify optimal communities. However, in …

Recent research has shown great interest in statistical inference methods for community detection, not only in models … and algorithms but also in the detectability. In this paper we propose a fast community detection algorithm based on the …

Community detection is of great importance to understand the structures and functions of networks. Overlap is a … significant feature of networks and overlapping community detection has attracted an increasing attention. Many algorithms have … been presented to detect overlapping communities. In this paper, we present an ant colony based overlapping community …

Community detection in the social networks is one of the most important tasks of social computing. Highly relevant … introduces an efficient and functional community detection algorithm MOHCC, which can concurrently discover overlapping and …

conventional community detection methods focus on optimizing a certain objective function or on clustering nodes based on their … detection in broader types of networks and outperforms other community detection methods. … network. Experiments on synthetic and real-world networks demonstrate that ISIM can be successfully applied to community …

There has been a surge of interest in community detection in homogeneous single-relational networks which contain only …