@article {24767,
	title = {Social Computing for Mobile Big Data},
	journal = {IEEE Computer},
	volume = {49},
	year = {2016},
	month = {09/2016},
	publisher = {IEEE},
	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.},
	issn = {0018-9162 },
	doi = {10.1109/MC.2016.267},
	url = {http://ieeexplore.ieee.org/document/7562344/},
	author = {Zhang, X. and Yi, Z. and Yan, Z. and Min, G. and Wang, W. and Elmokashfi, Ahmed and Maharjan, Sabita and Zhang, Yan}
}
