Mining the Structure and Evolution of the Airport Network of China over the Past Twenty Years
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Adequacy of data for mining individual friendship pattern from cellular phone call logs
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Evolution analysis of a mobile social network
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Mobile social networks: state-of-the-art and a new vision
International Journal of Communication Systems
Evolution of social-attribute networks: measurements, modeling, and implications using google+
Proceedings of the 2012 ACM conference on Internet measurement conference
RIS: A Reciprocal Incentive Scheme in Selfish Opportunistic Networks
Wireless Personal Communications: An International Journal
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Mobile social network is a typical social network where one or more individuals of similar interests or commonalities, conversing and connecting with one another using the mobile phone. Our works in this paper focus on the experimental study for this kind of social network with the support of large-scale real mobile call data. The main contributions can be summarized as three-fold: firstly, a large-scale real mobile phone call log of one city has been extracted from a mobile phone carrier in China to construct mobile social network; secondly, common features of traditional social networks, such as power law distribution and small diameter etc, have been experimented, with which we confirm that the mobile social network is a typical scale-free network and has small-world phenomenon; lastly, different from traditional analytical methods, important properties of the actors, such as gender and age, have been introduced into our experiments with some interesting findings about human behavior, for example, the middle-age people are more active than the young and old people, and the female is unusual more active than the male while in the old age.