Finding Cohesive Subgroups and Relevant Members in the Nokia Friend View Mobile Social Network

摘要

The mobile phone can be used as a ubiquitous internet device to help users connect with the relevant people instantaneously to grow their social networks and provide quality friendship. In this paper, we present usage statistics from Nokia Friend View and identify its relevant users, by describing and applying our SCAN method adapted from cite{chin2008} for finding cohesive subgroups to the friend and interaction networks. Our results show that the connection patterns of the top 10 relevant users in the interaction network reflect the friend relationships of those users, and that members of cohesive subgroups send more messages and have more friends than others in the interaction network. These results can be used to improve friend recommendations, search, and user interaction.