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Analysis of Players Transfers in Esports. The Case of Dota 2

Published: 10 October 2018 Publication History

Abstract

In this work, we analyze how the esports transfer market is organized with the help of mixed methods. We assume that a combination of Social Network Analysis and Machine Learning can help to achieve deeper understanding and to find patterns which are hidden from the one-side analysis. For the research, we gathered information about transfers of Dota 2 teams made between The Internationals of 2016 and 2017 and built a network based on this data. For the ERGM, we checked the importance of belonging to one region and organization, difference of skills, and participation in TI, and for association rules, on a par with the regions, we added players roles, and a metric of their personal performance -- fantasy points. Summing up the results, we found out the importance of homophily within regions, detected presence of vertical mobility, and discover the influence of the specific players roles.

References

[1]
Christopher Carling, Alan McCall, Franck Le Gall, and Gregory Dupont. 2018. Injury risk and patterns in newly transferred football players: a case study of 8 seasons from a professional football club. Science and Medicine in Football 2, 1 (2018), 47--50. arXiv:https://doi.org/10.1080/24733938.2017.1370123
[2]
Arpad E Elo. 1978. The rating of chessplayers, past and present. Vol. 3. Batsford London.
[3]
Jürgen Gerhards and Michael Mutz. 2017. Who wins the championship? Market value and team composition as predictors of success in the top European football leagues. European Societies 19, 3 (2017), 223--242.
[4]
Oscar Grusky. 1963. The effects of formal structure on managerial recruitment: A study of baseball organization. Sociometry (1963), 345--353.
[5]
Michael Hahsler, Christian Buchta, Bettina Gruen, and Kurt Hornik. 2018. arules: Mining Association Rules and Frequent Itemsets. https://CRAN.R-project.org/package=arules R package version 1.5--5.
[6]
Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, and Christian Buchta. 2011. The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Datasets. Journal of Machine Learning Research 12 (2011), 1977--1981. http://jmlr.csail.mit.edu/papers/v12/hahsler11a.html
[7]
Michael Hahsler, Bettina Gruen, and Kurt Hornik. 2005. arules -- A Computational Environment for Mining Association Rules and Frequent Item Sets. Journal of Statistical Software 14, 15 (October 2005), 1--25.
[8]
Mark S. Handcock, David R. Hunter, Carter T. Butts, Steven M. Goodreau, Pavel N. Krivitsky, and Martina Morris. 2017. ergm:Fit, Simulate and Diagnose Exponential-Family Models for Networks. The Statnet Project (http://www.statnet.org). https://CRAN.R-project.org/package=ergm Rpackage version3.8.0.
[9]
Ethan Heinzen. 2017. elo: Elo Ratings. https://CRAN.R-project.org/package=elo R package version 1.0.1.
[10]
David R. Hunter, Mark S. Handcock, Carter T. Butts, Steven M. Goodreau, and Martina Morris. 2008. ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. Journal of Statistical Software 24, 3 (2008), 1--29.
[11]
Xiao Fan Liu, Yu-Liang Liu, Xin-Hang Lu, Qi-Xuan Wang, and Tong-Xing Wang. 2016. The anatomy of the global football player transfer network: Club functionalities versus network properties. PloS one 11, 6 (2016), e0156504.
[12]
Miohk Ryoo, Namjung Kim, and Kyoungju Park. 2018. Visual analysis of soccer players and a team. Multimedia Tools and Applications 77, 12 (01 Jun 2018), 15603--15623.
[13]
Thijs A. Velema. 2018. Upward and downward job mobility and player market values in contemporary European professional football. Sport Management Review (2018).
[14]
Ling Zhou and Stephen Yau. 2007. Efficient association rule mining among both frequent and infrequent items. Computers & mathematics with applications 54, 6 (2007), 737--749.

Cited By

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  • (2022)Strategic management in eSports – a systematic review of the literatureSport Management Review10.1080/14413523.2021.197422225:4(631-655)Online publication date: 25-Mar-2022

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Published In

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Mindtrek '18: Proceedings of the 22nd International Academic Mindtrek Conference
October 2018
282 pages
ISBN:9781450365895
DOI:10.1145/3275116
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

  • Tampere University of Technology
  • UTA: The University of Tampere
  • SIGCHI Finland: ACM SIGCHI Finland
  • Tampere University of Applied Sciences

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2018

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Author Tags

  1. Dota 2
  2. esports
  3. mixed methods
  4. transfers

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  • Poster
  • Research
  • Refereed limited

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Mindtrek 2018
Mindtrek 2018: Academic Mindtrek 2018
October 10 - 11, 2018
Tampere, Finland

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Mindtrek '18 Paper Acceptance Rate 34 of 68 submissions, 50%;
Overall Acceptance Rate 110 of 207 submissions, 53%

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Cited By

View all
  • (2022)Strategic management in eSports – a systematic review of the literatureSport Management Review10.1080/14413523.2021.197422225:4(631-655)Online publication date: 25-Mar-2022

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