| Autor: |
Daniel LÓPEZ SÁNCHEZ, Jorge REVUELTA, Fernando DE LA PRIETA, Cach DANG |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 4, Iss 3, Pp 11-18 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2255-2863 |
| DOI: |
10.14201/ADCAIJ2015431118 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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