Discovery of Really Popular Friends from Social Networks

被引：9
作者：
Jiang, Fan [1 ]
Leung, Carson Kai-Sang [1 ]
Liu, Dacheng [1 ,2 ]
Peddle, Aaron M. [1 ]
机构：
[1] Univ Manitoba, Dept Comp Sci, Winnipeg, MB, Canada
[2] Wuhan Univ, Sch Comp Sci, Wuhan, Hubei, Peoples R China
来源：
2014 IEEE FOURTH INTERNATIONAL CONFERENCE ON BIG DATA AND CLOUD COMPUTING (BDCLOUD) | 2014年
关键词：
Social computing and networking; data mining; popular friends; social computing and its applications; social network analysis and mining;
D O I：
10.1109/BDCloud.2014.110
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：342 / 349
页数：8
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