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