ANALYSIS AND VISUALIZATION OF SOCIAL USER COMMUNITIES

ANALYSIS AND VISUALIZATION OF SOCIAL USER COMMUNITIES

Authors:
Daniel LÓPEZ SÁNCHEZ, Jorge REVUELTA, Fernando DE LA PRIETA, Cach DANG

DOI:
10.14201/ADCAIJ2015431118

Volume:
Regular Issue 4 (3), 2015

Keywords: 
Data Mining; Information Visualization; Social Communities

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.   

JCR

Position in 2022 Journal Citation Indicator (JCI) Ranking:
Category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE


CONTACT