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Social Network Analysis of High-Level Players in Multiplayer Online Battle Arena Game

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Social Informatics (SocInfo 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8852))

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Abstract

Recently, multiplayer online battle arena (MOBA) games have become one of the most popular video game genres. They are also known as Defense of the Ancients (DotA)-like games. As an online-based matching game, it is interesting to analyze players’ social structure. In League of Legends (LOL), the most popular MOBA game, players form a team and fight against an enemy together. In the game, they build communities like other conventional social network services (SNSs). In this paper, we analyze the social network of LOL, constructed from team/player data extracted with an official application programming interface (API). In particular, the ranks of players are considered in the analysis. The experimental results show the important features in the social structure of LOL that would be useful for applications in player modeling and match making.

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References

  1. Lim, C.-U., Harrell, D.F.: Modeling player preferences in avatar customization using social network data. In: IEEE Conference on Computational Intelligence in Games (2013)

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  2. Bialas, M., Tekofsky, S., Spronck, P.: Cultural influences on play style. In: IEEE Conference on Computational Intelligence in Games (2014)

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Sejong University, Seoul, South Korea

    Hyunsoo Park & Kyung-Joong Kim

Authors
  1. Hyunsoo Park
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  2. Kyung-Joong Kim
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Corresponding author

Correspondence to Kyung-Joong Kim .

Editor information

Editors and Affiliations

  1. Yahoo Inc., Barcelona, Spain

    Luca Maria Aiello

  2. Stanford Graduate School of Education, Stanford, California, USA

    Daniel McFarland

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© 2015 Springer International Publishing Switzerland

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Park, H., Kim, KJ. (2015). Social Network Analysis of High-Level Players in Multiplayer Online Battle Arena Game. In: Aiello, L., McFarland, D. (eds) Social Informatics. SocInfo 2014. Lecture Notes in Computer Science(), vol 8852. Springer, Cham. https://doi.org/10.1007/978-3-319-15168-7_28

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  • DOI: https://doi.org/10.1007/978-3-319-15168-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15167-0

  • Online ISBN: 978-3-319-15168-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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