A naïve Bayes model based on ovelapping groups for link prediction in online social networks

@inproceedings{ValverdeRebaza2015ANB,
  title={A na{\"i}ve Bayes model based on ovelapping groups for link prediction in online social networks},
  author={Jorge Carlos Valverde-Rebaza and Alan Valejo and Lilian Berton and Thiago de Paulo Faleiros and Alneu de Andrade Lopes},
  booktitle={SAC},
  year={2015}
}
Link prediction in online social networks is useful in numerous applications, mainly for recommendation. Recently, different approaches have considered friendship groups information for increasing the link prediction accuracy. Nevertheless, these approaches do not consider the different roles that common neighbors may play in the different overlapping groups that they belong to. In this paper, we propose a new approach that uses overlapping groups structural information for building a naïve… CONTINUE READING