Detecting community structure in weighted social networks based on shared neighbors

Detecting communities in complex networks is beneficial for understanding the network structure and analyzing the network properties. Previous studies mainly focus on unweighted network. This paper proposes a a novel method based on fuzzy clustering to detect community structure in weighted networks. At last, we also evaluate our method on a famous real-world network of Zachary´s karate club.