Performance Evaluation of Community Detection Algorithms in Social Networks Analysis

Prajakta Vispute
2020 Bioscience Biotechnology Research Communications  
In social network analysis, community identification unveils properties shared by nodes like area of research, communication, common interest and many more. The evolving nature of social networks necessitates dynamic community detection methods. To handle the continuous change in data, improved community detection algorithms are introduced in various applications. To find communities in dynamic SNA, static community detection methods can be used to generate base communities, which then can be
more » ... dified for dynamic data. This paper deals with selection of suitable algorithm for detection of communities from static data based on different performance parameters and thus could be used for efficient detection of dynamic communities.
doi:10.21786/bbrc/13.14/90 fatcat:6cjbozsjzvcbrkq2se6rtxczie