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arXiv · 1609.09597

Social Computing for Mobile Big Data in Wireless Networks

Xing Zhang·Zhenglei Yi·Zhi Yan·Geyong Min·Wenbo Wang·Sabita Maharjan·Yan Zhang
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Abstract

Mobile big data contains vast statistical features in various dimensions, including spatial, temporal, and the underlying social domain. Understanding and exploiting the features of mobile data from a social network perspective will be extremely beneficial to wireless networks, from planning, operation, and maintenance to optimization and marketing. In this paper, we categorize and analyze the big data collected from real wireless cellular networks. Then, we study the social characteristics of mobile big data and highlight several research directions for mobile big data in the social computing areas.

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Xing Zhang, Zhenglei Yi, Zhi Yan, Geyong Min, Wenbo Wang, Sabita Maharjan, Yan Zhang. 2016-09-30. Social Computing for Mobile Big Data in Wireless Networks. https://doi.org/10.1109/mc.2016.267

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