|Appears in Collections:||Faculty of Health Sciences and Sport Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Mining Tracks of Competitive Video Games|
|Citation:||Rioult F, Metivier J, Helleu B, Scelles N & Durand C (2014) Mining Tracks of Competitive Video Games. 2014 AASRI Conference on Sports Engineering and Computer Science (SECS 2014), London, 21.06.2014-22.06.2014. AASRI Procedia, 8, pp. 82-87. https://doi.org/10.1016/j.aasri.2014.08.014|
|Conference Name:||2014 AASRI Conference on Sports Engineering and Computer Science (SECS 2014)|
|Conference Dates:||2014-06-21 - 2014-06-22|
|Abstract:||The development and professionalization of a video game requires tools for analyzing the practice of the players and teams, their tactics and strategies. These games are very popular and by nature numerical, they provide many tracks that we analyzed in terms of team play. We studied Defense of the Ancients (DotA), a Multiplayer Online Battle Arena (MOBA), where two teams battle in a game very similar to rugby or American football. Through topological measures - area of polygon described by the players, inertia, diameter, distance to the base - that are independent of the exact nature of the game, we show that the outcome of the match can be relevantly predicted. Mining e-sport's tracks is opening interest in further application of these tools for analyzing real time sport.|
|Status:||VoR - Version of Record|
|Rights:||This journal is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given.|
|1-s2.0-S221267161400081X-main.pdf||Fulltext - Published Version||247.26 kB||Adobe PDF||View/Open|
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