Analysis and visualization of social user communities

  1. LÓPEZ SÁNCHEZ, Daniel 1
  2. REVUELTA, Jorge 2
  3. DE LA PRIETA, Fernando 3
  4. DANG, Cach 4
  1. 1 Discovergy GmbH
  2. 2 ACM Member
  3. 3 Sunchon National University
    info

    Sunchon National University

    Suncheon, Corea del Sur

    ROR https://ror.org/043jqrs76

  4. 4 HoChiMinh City University of Transport
Erakutsi afiliazioak +
Aldizkaria:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Argitalpen urtea: 2015

Alea: 4

Zenbakia: 3

Orrialdeak: 11-18

Mota: Artikulua

DOI: 10.14201/ADCAIJ2015431118 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Garapen Iraunkorreko Helburuak

Laburpena

In this paper, a novel framework for social user clustering is proposed. Given a current controversial political topic, the Louvain Modularity algorithm is used to detect communities of users sharing the same political preferences. The political alignment of a set of users is labeled manually by a human expert and then the quality of the community detection is evaluated against this gold standard. In the last section, we propose a novel force-directed graph algorithm to generate a visual representation of the detected communities.   

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