Maximizing positive opinion influence using an evidential approach
Social and Information Networks
2016-10-21 v1 Artificial Intelligence
Abstract
In this paper, we propose a new data based model for influence maximization in online social networks. We use the theory of belief functions to overcome the data imperfection problem. Besides, the proposed model searches to detect influencer users that adopt a positive opinion about the product, the idea, etc, to be propagated. Moreover, we present some experiments to show the performance of our model.
Cite
@article{arxiv.1610.06340,
title = {Maximizing positive opinion influence using an evidential approach},
author = {Siwar Jendoubi and Arnaud Martin and Ludovic Liétard and Hend Hadji and Boutheina Yaghlane},
journal= {arXiv preprint arXiv:1610.06340},
year = {2016}
}