Independence of Sources in Social Networks
Artificial Intelligence
2018-06-27 v1 Social and Information Networks
Abstract
Online social networks are more and more studied. The links between users of a social network are important and have to be well qualified in order to detect communities and find influencers for example. In this paper, we present an approach based on the theory of belief functions to estimate the degrees of cognitive independence between users in a social network. We experiment the proposed method on a large amount of data gathered from the Twitter social network.
Cite
@article{arxiv.1806.09959,
title = {Independence of Sources in Social Networks},
author = {Manel Chehibi and Mouna Chebbah and Arnaud Martin},
journal= {arXiv preprint arXiv:1806.09959},
year = {2018}
}