Finding groups of friends who are significant across multiple domains in social networks

Abstract

Social networking websites such as Facebook, LinkedIn, Twitter, and Weibo have been used for collaboration and knowledge sharing between users. The mining of social network data has become an important topic in data mining and computational aspects of social networks. Nowadays, it is not uncommon for most users in a social network to have many friends and in multiple social domains. Among these friends, some groups of friends are more significant than others. In this paper, we introduce a data mining technique that helps social network users find groups of friends who are significant across multiple domains in social networks.