Abstract
Mobile phone call and SMS are one the most popular communication means in modern society. The interactions between individuals result in a complex community structure that embody the social evolution. The real time call and SMS records of 36 million mobile phone users provide us with a valuable proxy to understand the change of communication behaviors embedded in social networks. Mobile phone users call each other and send SMS forming two paralleled directed social networks. We perform a detailed analysis on these two weighted networks and their derivative networks by examining their degree, weight, strength distribution, clustering coefficients and topological overlapa, as well as the correlations among these quantities. We focus on comparing the statistical properties of these networks and try to discover and interpret the discrepancy between calling and SMS networks. The finings shows that these networks have many structural features in common and exhibit idiosyncratic features when compared with each other. These findings offer insight into the pattern differences between the two large networks.
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Acknowledgement
This work was supported by the major research plan of the National Natural Science Foundation (91224009, 51438009), Technology Commission (13ZCZDGX01099), and the Ocean Public Welfare Scientific under Grant No. 201305033
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Li, J., Wang, W., Jiao, P., Lyu, H. (2016). Comparative Statistical Analysis of Large-Scale Calling and SMS Network. In: Tan, Y., Shi, Y., Li, L. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9713. Springer, Cham. https://doi.org/10.1007/978-3-319-41009-8_38
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DOI: https://doi.org/10.1007/978-3-319-41009-8_38
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