TY  - Type of reference 
TI  - Assessing polarization in Online Social Networks through community boundaries: the ERIS approach 
AU  - Alexis Guyot
 
AU  - Annabelle Gillet
 
AU  - Éric Leclercq
 
AU  - Nadine Cullot 
AB  - Detection and characterization of polarization are of major interest in Social Network Analysis, especially to identify conflictual topics that animate the interactions between users. As gatekeepers of their community, users in the boundaries significantly contribute to its polarization. We propose ERIS, a formal graph approach relying on community boundaries and users’ interactions to compute two metrics : the community antagonism and the porosity of boundaries. These values assess the degree of opposition between communities and their aversion to external exposure, allowing an understanding of the overall polarization through the behaviors of the different communities. We also present an implementation based on matrix computations, freely available online. We compare our method with existing solutions. Finally, we apply our proposal on real data harvested from Twitter with a case study about the vaccines and the COVID-19. 
DO  - 10.21494/ISTE.OP.2024.1137 
JF  - Open Journal in Information Systems Engineering 
KW  - Social Networks, Polarization, Community Boundaries, Community Structure, Graph Mining, Réseaux Sociaux, Polarisation, Frontière de communauté, Structure de communauté, Fouille de graphe,  
L1  - https://openscience.fr/IMG/pdf/iste_roisi24v4nspe_1.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2024/04/10 
SN  - 2634-1468 
TT  - Évaluer la polarisation des Réseaux Sociaux Numériques par l’analyse des frontières de ses communautés : l’approche ERIS 
UR  - https://openscience.fr/Assessing-polarization-in-Online-Social-Networks-through-community-boundaries 
IS  - Special Issue 
VL  - 4 
ER  -