Eurovision’ European Contest ∗
Repositorio Institucional de la Universidad Autónoma de Madrid https://repositorio.uam.es Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: WIMS '11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics, ACM, 2011. 25 DOI: http://dx.doi.org/10.1145/1988688.1988718 Copyright: © 2011 ACM El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription A Study on the Impact of Crowd-Based Voting Schemes in the ’Eurovision’ European Contest ∗ Gema Bello Orgaz, Raul Cajias and David Camacho Computer Science Department Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid, Spain {gema.bello, raul.cajias, david.camacho}@uam.es ABSTRACT Categories and Subject Descriptors The Eurovision contest has been the reference on european H.3.3 [Information Systems]: Information Storage and song contests for the past 50 years. Countries in the Euro- Retrieval|Information Search and Retrieval, Clustering pean Union can shows the rest of the participants their cur- rent music tendencies. This phenomena has been studied in General Terms domains like physic and social sciences to find correlations CPM, Edge Betweenness, Data Mining, Eurovision, Televot- between contests and current political and socio-economy ing, Voting Partnership trends in EU. The inclusion of web and social technologies some years ago, have caused a disruption in the traditional voting system whereby the audience is encouraged to par- Keywords ticipate by casting votes for their favorite song. As a result, Graph Based Algorithms, Network, Web Mining, Social Min- this system yields new, relevant information that may be ex- ing trapolated to social and political tendencies in Europe with a higher degree accuracy than by data collected using the 1.
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