Title :
Discovery of Really Popular Friends from Social Networks
Author :
Fan Jiang ; Leung, Carson Kai-Sang ; Dacheng Liu ; Peddle, Aaron M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
Abstract :
Advances in social computing and networking software and technologies enable users to intersect social behaviour with computing systems for creating social conventions and contexts. In recent years, 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 algorithms that incorporate both connectivity and frequency information in helping users to discover really popular friends from social networks. Experimental results show the effectiveness of our algorithms in the discovery of really popular friends from social networks.
Keywords :
behavioural sciences computing; data mining; social networking (online); knowledge sharing; social behaviour; social computing; social contexts; social conventions; social media data; social networking sites; social networking software; social networking technologies; Data mining; Databases; Equations; Facebook; Social computing; Upper bound; Social computing and networking; data mining; popular friends; social computing and its applications; social network analysis and mining;
Conference_Titel :
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/BDCloud.2014.110
