DocumentCode :
2545073
Title :
Finding Popular Friends in Social Networks
Author :
Fan Jiang ; Leung, Carson Kai-Sang ; Tanbeer, Syed K.
Author_Institution :
Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
fYear :
2012
fDate :
1-3 Nov. 2012
Firstpage :
501
Lastpage :
508
Abstract :
The emergence of social computing enables users to intersect social behaviour with computing systems and to create social conventions as well as social contexts through the use of software and technology. Social networking sites have become popular to facilitate collaboration and knowledge sharing between users. A rich set of information is embedded in these social media data. In this paper, we propose a data mining algorithm to help users to find popular friends in social networks. This can be considered as an application of data mining and social computing.
Keywords :
data mining; social networking (online); user interfaces; collaboration facilitation; data mining algorithm; knowledge sharing; social behaviour; social computing; social context; social convention; social networks; user finding; Data mining; Databases; Equations; Facebook; Mathematical model; Media; Social computing; data mining; social applications; social media; social network analysis and mining; social networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Green Computing (CGC), 2012 Second International Conference on
Conference_Location :
Xiangtan
Print_ISBN :
978-1-4673-3027-5
Type :
conf
DOI :
10.1109/CGC.2012.99
Filename :
6382863
Link To Document :
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