Team efficiency and network structure: The case of professional League of Legends
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/61074DOI: 10.1016/j.socnet.2019.03.004
ISSN: 0378-8733
Date
2019-04-03Bibliographic citation
Cantallops, M.M. & Sicilia, M. (2019). Team efficiency and network structure: The case of professional League of Legends. Soc. Networks, 58, 105-115.
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
http://doi.org/10.1016/j.socnet.2019.03.004Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2019 Elsevier
Access rights
info:eu-repo/semantics/openAccess
Abstract
Teams can be defined by their interactions and successful performance rests on their members"
behaviour. Although this topic has been studied both in sports and management, research
on computer mediated team interactions, communication, cooperative work and efficiency
in online competitive environments is scarce. In this article, networks will be used as a
novel approach to understand how League of Legends professional players assist each other
during a competitive match and to link their computer mediated behaviour and social
interactions to their team"s performance. Starting from a dataset consisting of 453.386
kill assists, the network structure and efficiency is assessed over 7.582 matches in total.
After controlling for potential mixed-effects, such as the quality of the involved teams or
their geography, this study reinforces previous research showing that team efficiency in the
League of Legends professional scene is positively affected by the intensity of their interaction
while centralization of resources is detrimental. Networks with high intensity and low inner
centralization are, therefore, related to a higher performance as a team not only in traditional
sports but also in computer mediated contexts.
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team_mora_soc-networks_2018.pdf | 583.3Kb |
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team_mora_soc-networks_2018.pdf | 583.3Kb |
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