A Link Prediction System in Social Networks

Authors

Luciano Antonio Digiampietri, University of Sao PauloFollow
William Takahiro Maruyama, University of Sao PauloFollow
Caio Rafael do Nascimento Santiago, University of Sao PauloFollow
Jamison José da Silva Lima, University of Sao PauloFollow

Document Type

Article

Publication Date

5-2015

Keywords

link prediction, social networks, academic networks

Abstract

The prediction of new relationships in a social network is a complex and extremely useful task to enhance or maximize collaborations by indicating what the most promising partnerships are. In academic social networks, prediction of relationships is typically used to try to identify potential partners in the development of a project and/or co-authors for publishing papers. This paper presents a system that combines artificial intelligence techniques with the state-of-the-art metrics for link prediction. The resulting system was tested using real data from Computer Science researchers and achieved a precision above 99.5% in the co-authorship prediction.

Comments

This paper is in Portuguese (Um Sistema de Predição de Relacionamentos em Redes Sociais)

Recommended Citation

Digiampietri, Luciano Antonio; Maruyama, William Takahiro; Santiago, Caio Rafael do Nascimento; and Lima, Jamison José da Silva, "A Link Prediction System in Social Networks" (2015). Proceedings of the XI Brazilian Symposium on Information Systems (SBSI 2015). 81.
https://aisel.aisnet.org/sbis2015/81