Kröckel P, Piazza A, Neuhofer K (2017)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Future Publication Type: Conference contribution
Publication year: 2017
Publisher: IEEE
Pages Range: 114-119
Event location: Vienna House Diplomat Prague, Czech Republic
URI: http://ieeexplore.ieee.org/document/8113780/
Social networks have been applied in football, or football match analysis to analyze the passing distributions between teams. However, analysis has been mostly done on a manually collected data by considering the widely adopted network metrics such as betweenness and closeness centrality. In this paper, we use professional tracking event data provided by OPTA Sports and analyze the final game of the Euro2016 between Portugal and France. We use Gephi and the NetworkX Python library and apply dynamic network analysis by integrating the timestamps of the passes. We further look into traditional performance metrics from both teams and make an attempt to connect those to the network results and the outcome of the game.
APA:
Kröckel, P., Piazza, A., & Neuhofer, K. (2017). Dynamic Network Analysis of the Euro2016 Final: Preliminary results. In Proceedings of the The Fourth International Symposium on Social Networks Analysis, Management and Security (SNAMS-2017) (pp. 114-119). Vienna House Diplomat Prague, Czech Republic, CZ: IEEE.
MLA:
Kröckel, Pavlina, Alexander Piazza, and Kathrin Neuhofer. "Dynamic Network Analysis of the Euro2016 Final: Preliminary results." Proceedings of the The Fourth International Symposium on Social Networks Analysis, Management and Security (SNAMS-2017), Vienna House Diplomat Prague, Czech Republic IEEE, 2017. 114-119.
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