Social Computing and Weighting to Identify Member Roles in Online Communities
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Nuisance level of a voice call
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Exploring temporal communication through social networks
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
Activity-aware map: identifying human daily activity pattern using mobile phone data
HBU'10 Proceedings of the First international conference on Human behavior understanding
Mining individual mobility patterns from mobile phone data
Proceedings of the 2011 international workshop on Trajectory data mining and analysis
Mobile social networks: state-of-the-art and a new vision
International Journal of Communication Systems
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As mobile networks expand rapidly to facilitate the rising number of mobile phone population, more mobile social services are being developed and offered. To create an efficient social functionality, characteristics of mobile social network must be studied. Social closeness is one of the basic fundamentals of any kind of social networking. In this paper, closeness in mobile social network is the subject of the study, from which social grouping scheme is proposed and validated against the feedbacks of human subjects. Based on the proposed grouping scheme, a study of the impact of the mobile social closeness to the similarity in calling patterns and reciprocity is presented.