Twitter User Clustering Based on Their Preferences and the Louvain Algorithm

López Sánchez, Daniel; Revuelta Herrero, Jorge; Prieta Pintado, Fernando de la; Gil González, Ana Belén; Dang, Cach

Título

dc.contributor.author	López Sánchez, Daniel
dc.contributor.author	Revuelta Herrero, Jorge
dc.contributor.author	Prieta Pintado, Fernando de la
dc.contributor.author	Gil González, Ana Belén
dc.contributor.author	Dang, Cach
dc.date.accessioned	2017-09-06T09:16:47Z
dc.date.available	2017-09-06T09:16:47Z
dc.date.issued	2016-06
dc.identifier.citation	Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. Volumen 473, pp. 349-356.
dc.identifier.isbn	978-3-319-40158-4
dc.identifier.issn	2194-5357
dc.identifier.uri	http://hdl.handle.net/10366/135126
dc.description.abstract	In this paper, a novel agent-based platform for Twitter user clustering is proposed. We describe how our system tracks the activity for a given topic in the social network and how to detect communities of users with similar political preferences by means of the Louvain Modularity. The quality of this clustering method is evaluated against a subset of human-labeled user profiles. Finally, we propose combining community detection with a force-directed graph algorithm to produce a visual representation of the political communities.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Verlang
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Twitter User Clustering Based on Their Preferences and the Louvain Algorithm
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess