A Belief Approach for Detecting Spammed Links in Social Networks

Salma Ben Dhaou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane

2019

Abstract

Nowadays, we are interconnected with people whether professionally or personally using different social networks. However, we sometimes receive messages or advertisements that are not correlated to the nature of the relation established between the persons. Therefore, it became important to be able to sort out our relationships. Thus, based on the type of links that connect us, we can decide if this last is spammed and should be deleted. Thereby, we propose in this paper a belief approach in order to detect the spammed links. Our method consists on modelling the belief that a link is perceived as spammed by taking into account the prior information of the nodes, the links and the messages that pass through them. To evaluate our method, we first add some noise to the messages, then to both links and messages in order to distinguish the spammed links in the network. Second, we select randomly spammed links of the network and observe if our model is able to detect them. The results of the proposed approach are compared with those of the baseline and to the k-nn algorithm. The experiments indicate the efficiency of the proposed model.

Paper Citation

in Harvard Style

Ben Dhaou S., Kharoune M., Martin A. and Ben Yaghlane B. (2019). A Belief Approach for Detecting Spammed Links in Social Networks.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 602-609. DOI: 10.5220/0007364906020609

in Bibtex Style

@conference{icaart19,
author={Salma Ben Dhaou and Mouloud Kharoune and Arnaud Martin and Boutheina Ben Yaghlane},
title={A Belief Approach for Detecting Spammed Links in Social Networks},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2019},
pages={602-609},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007364906020609},
isbn={978-989-758-350-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Belief Approach for Detecting Spammed Links in Social Networks
SN - 978-989-758-350-6
AU - Ben Dhaou S.
AU - Kharoune M.
AU - Martin A.
AU - Ben Yaghlane B.
PY - 2019
SP - 602
EP - 609
DO - 10.5220/0007364906020609