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Social Computing for Mobile Big Data in Wireless Networks

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.

preprint2016arXivOpen access
Xing ZhangZhenglei YiZhi YanGeyong MinWenbo WangSabita MaharjanYan Zhang
Social and Information NetworksMachine Learning
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Open access7 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Xing ZhangZhenglei YiZhi YanGeyong MinWenbo WangSabita MaharjanYan Zhang

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