Social network data analysis for event detection

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Title:	Social network data analysis for event detection
Author:	Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Tejeda Gómez, José Arturo; Oliva Felipe, Luis Javier; Gómez Sebastià, Ignasi; Béjar Alonso, Javier; Vázquez Salceda, Javier
Other authors:	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
Abstract:	Cities concentrate enough Social Network (SN) activity to empower rich models. We present an approach to event discovery based on the information provided by three SN, minimizing the data properties used to maximize the total amount of usable data. We build a model of the normal city behavior which we use to detect abnormal situations (events). After collecting half a year of data we show examples of the events detected and introduce some applications.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Online social networks -Data mining -Location based social networks -Event detection -Data mining -Xarxes socials en línia -Mineria de dades
Rights:	Attribution-NonCommercial 3.0 Spain http://creativecommons.org/licenses/by-nc/3.0/es/
Document type:	Article - Published version Conference Object
Published by:	IOS Press
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