Integrating User’s Emotional Behavior for Community Detection in Social Networks

Andreas Kanavos, Isidoros Perikos, Ioannis Hatzilygeroudis, Athanasios Tsakalidis

2016

Abstract

The analysis of social networks is a very challenging research area. A fundamental aspect concerns the detection of user communities, i.e. the organization of vertices in clusters, with many edges joining vertices of the same cluster and comparatively few edges joining vertices of different clusters. Detecting communities is of great importance in sociology, biology as well as computer science where systems are often represented as graphs. In this paper we present a novel methodology for community detection based on users’ emotional behavior. The methodology analyzes user’s tweets in order to determine their emotional behavior in Ekman emotional scale. We define two different metrics to count the influence of produced communities. Moreover, the weighted version of a modularity community detection algorithm is utilized. Our results show that our proposed methodology creates influential enough communities.

Download


Paper Citation


in Harvard Style

Kanavos A., Perikos I., Hatzilygeroudis I. and Tsakalidis A. (2016). Integrating User’s Emotional Behavior for Community Detection in Social Networks . In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: SRIS, (WEBIST 2016) ISBN 978-989-758-186-1, pages 355-362. DOI: 10.5220/0005862703550362

in Bibtex Style

@conference{sris16,
author={Andreas Kanavos and Isidoros Perikos and Ioannis Hatzilygeroudis and Athanasios Tsakalidis},
title={Integrating User’s Emotional Behavior for Community Detection in Social Networks},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: SRIS, (WEBIST 2016)},
year={2016},
pages={355-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005862703550362},
isbn={978-989-758-186-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: SRIS, (WEBIST 2016)
TI - Integrating User’s Emotional Behavior for Community Detection in Social Networks
SN - 978-989-758-186-1
AU - Kanavos A.
AU - Perikos I.
AU - Hatzilygeroudis I.
AU - Tsakalidis A.
PY - 2016
SP - 355
EP - 362
DO - 10.5220/0005862703550362