DocumentCode :
1731594
Title :
Social network link predict based on AF model
Author :
Chang, Cheng ; Yao, Xiying
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
1
fYear :
2011
Firstpage :
415
Lastpage :
418
Abstract :
With the development of the Internet, social network has deeply rooted. People could construct more widely contact through social network. At the same time, social network analysis has made in-depth development; it has been widely used in modern sociology, anthropology, economics, and biology area. In social network, everyone has his wish to expand his circle of communication. But their energy of digging the potential friends by themselves is limited, so the link prediction which is one of sub-tasks of social network analysis becomes increasingly important. This article uses the AF model for link prediction to social network, Verify the correctness and validity of the method through the experiment on Enron´s e-mail data collection.
Keywords :
Internet; data mining; social networking (online); AF model; Internet; e-mail data collection; link mining; social network analysis; social network link prediction; Finance; AF Model; Link Predict; data mining; social network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6181988
Filename :
6181988
Link To Document :
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