Analysis of large multi-modal social networks: patterns and a generator
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Further into the wild: running worldwide trials of mobile systems
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
A Comparison of Distribution Channels for Large-Scale Deployments of iOS Applications
International Journal of Mobile Human Computer Interaction
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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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.