Social Computing for Mobile Big Data

dc.contributor.author	Zhang, X
dc.contributor.author	Yi, Z
dc.contributor.author	Yan, Z
dc.contributor.author	Min, G
dc.contributor.author	Wang, W
dc.contributor.author	Elmokashfi, A
dc.contributor.author	Maharjan, S
dc.contributor.author	Zhang, Y
dc.date.accessioned	2017-02-13T16:52:34Z
dc.date.issued	2016-09-07
dc.description.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.	en_GB
dc.identifier.citation	Vol. 49, No. 9, pp. 86-90	en_GB
dc.identifier.doi	10.1109/MC.2016.267
dc.identifier.uri	http://hdl.handle.net/10871/25812
dc.language.iso	en	en_GB
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	en_GB
dc.rights.embargoreason	Publisher policy	en_GB
dc.rights	This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record.	en_GB
dc.subject	big data	en_GB
dc.subject	social computing	en_GB
dc.subject	mobile	en_GB
dc.title	Social Computing for Mobile Big Data	en_GB
dc.type	Article	en_GB
dc.identifier.issn	0018-9162
dc.identifier.journal	Computer	en_GB