Analysis and visualization of social user communities

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ISSN online: 2255-2863

Prefijo Doi: 10.14201

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Daniel López Sánchez
Discovergy GmbH
Germany
Jorge Revuelta
ACM Member
Fernando De La Prieta
Sunchon National University
Korea, Republic of
Cach Dang
HoChiMinh City University of Transport
Viet Nam
Vol. 4 No. 3 (2015), Articles, pages 11-18
DOI: https://doi.org/10.14201/ADCAIJ2015431118
Accepted: Jun 6, 2016
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Abstract

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.   

Keywords:

Data Mining, Information Visualization, Social Communities

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References

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