Inferring Social Relationships Through Network: A Systematic Literature Review

Nowadays networks are developing extensively in size, intricacy, and diversity. Due to modification in social networks, advanced and distinctive kind of networks is emerging such as wireless networks, social networks, criminal networks and ego networks. Social network identification is the key to gather significant details from networks. Systematic Literature Review has been discerned to distinguish 31 papers from 2010 to 2018 to provide the set of frameworks that researchers could focus on. The aim is to organize the main categories of community discovery based on their definition of community and to identify algorithms, models, methods, and approaches that have been proposed. Consequently, 7 different categories of social networks have been identified. Furthermore, 20 algorithms, 4 approaches, 4 methods and 3 models for identifying social relationships from the network have been proposed. Based on the results obtained from the systematic review, we conclude that most of the work has been done on inferring community detection.