Tweet-SCAN: An event discovery technique for geo-located tweets

Joan Capdevila, Jesús Cerquides, Jordi Nin, Jordi Torres

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

5 Cites (Scopus)


Twitter has become one of the most popular Location-Based Social Networks (LBSNs) that enables bridging physical and virtual worlds. Tweets, 140-character-long messages published in Twitter, are aimed to provide basic responses to the What's happening? question. Occurrences and events in the real life are usually reported through geo-located tweets by users on site. Uncovering event-related tweets from the rest is a challenging problem that necessarily requires exploiting different tweet features. With that in mind, we propose Tweet-SCAN, a novel event discovery technique based on the density-based clustering algorithm called DB-SCAN. Tweet-SCAN takes into account four main features from a tweet, namely content, time, location and user to cluster homogeneously event-related tweets. This new technique models textual content through a probabilistic topic model called Hierarchical Dirichlet Process and introduces Jensen-Shannon distance for the task of neighborhood identification in the textual dimension. As a matter of fact, we show Tweet-SCAN performance in a real data set of geo-located tweets posted during Barcelona local festivities in 2014, for which some of the events were known beforehand. By means of this data set, we are able to assess Tweet-SCAN capabilities to discover events, justify using a textual component and highlight the effects of several parameters.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development - Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence
EditorsDionis Boixader, Francisco Grimaldo, Eva Armengol
EditorIOS Press
Nombre de pàgines10
ISBN (electrònic)9781614995777
Estat de la publicacióPublicada - 2015
Publicat externament
Esdeveniment18th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2015 - Valencia, Spain
Durada: 21 d’oct. 201523 d’oct. 2015

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
ISSN (imprès)0922-6389


Conferència18th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2015


Navegar pels temes de recerca de 'Tweet-SCAN: An event discovery technique for geo-located tweets'. Junts formen un fingerprint únic.

Com citar-ho