DocumentCode
3564970
Title
A Review of Link Prediction in Social Networks
Author
Tingli Wang ; Guoqiong Liao
Author_Institution
Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China
fYear
2014
Firstpage
147
Lastpage
150
Abstract
In recent years, with the emerging of social media, such as Facebook, Twitter, Sina Microblog, more and more researchers pay their attentions to social networks. Link prediction is one of the most interesting issues among the social network analysis, which exploits existing networks information, like the characteristics of the nodes and edges, to predict potential relationships to be formed in the future. This paper summarizes the link prediction methods in social networks, including tradition link prediction methods, link prediction methods in heterogeneous networks, and temporal link prediction methods.
Keywords
network theory (graphs); social networking (online); Facebook; Sina Microblog; Twitter; heterogeneous networks; social media; social network analysis; temporal link prediction methods; Computational modeling; Data mining; Feature extraction; Prediction algorithms; Predictive models; Social network services; heterogeneous networks; link prediction; socail networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on
Type
conf
DOI
10.1109/ICMeCG.2014.38
Filename
7046907
Link To Document