Micro-blog user community discovery using generalized SimRank edge weighting method.

ABSTRACT: Community discovery is one of the most popular issues in analyzing and understanding a network. Previous research suggests that the discovery can be enhanced by assigning weights to the edges of the network. This paper proposes a novel edge weighting method, which balances both local and global weighting based on the idea of shared neighbor ranging between users and the interpersonal significance of the social network community. We assume that users belonging to the same community have similar relationship network structures. By controlling the measure of "neighborhood", this method can adequately adapt to real-world networks. Therefore, the famous similarity calculation method-SimRank-can be regarded as a special case of our method. According to the practical significance of social networ

SUBMITTER: Qi J 

PROVIDER: S-EPMC5937763 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature