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Network Analysis of Games Russian Football Premier League

Student: Fyodor Toporov

Supervisor: Fuad T. Aleskerov

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2019

This paper focuses on the impact of both classical and new centrality measures on the forecasting of sports events. We use the results of Russian Footbal Premier League 17/18 as an example of dataset. We also propose the methods of centrality indices to increase the accuracy of forecast based on linear regression.

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