Social network link predict based on AF model

Chang, Cheng; Yao, Xiying

doi:10.1109/iccsnt.2011.6181988

Proceedings of 2011 International Conference on Computer Science and Network Technology 2011

DOI: 10.1109/iccsnt.2011.6181988

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Social network link predict based on AF model

Cheng Chang

Xiying Yao

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2015

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Link prediction in social networks using Bayesian networks

Shalforoushan

Jalali

2015

2015 the International Symposium on Artificial Intelligence and Signal Processing (AISP)

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Link prediction is as an effective technique in social network analysis to find out the relations between users and has received great concentration by many researchers in recent studies. In this paper a method is proposed for friend recommendation in social networks using Bayesian networks. The Bayesian network is a reliable model to understand the relations between variables and has been used in many areas for prediction. This method with considering effective features on creating friendships, suggests friends to users accurately. First, the goal is to find attributes and similarities that have the most effect on creating a friendship. After that friends with most common similarities will be suggested to each other. The results of the proposed method are compared with those obtained from different algorithms like Friend Of Friend and it is found that the method used in this paper significantly improves the accuracy of friend suggestion due to inclusion of several features.

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Link prediction in social networks using Bayesian networks

Shalforoushan

Jalali

2015

2015 the International Symposium on Artificial Intelligence and Signal Processing (AISP)

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Social network link predict based on AF model

Cited by 1 publication

References 5 publications

Link prediction in social networks using Bayesian networks

Link prediction in social networks using Bayesian networks

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