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

  • Hyunsoo Park
  • Kyung-Joong Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8852)

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.

Keywords

Social network Online game Multiplayer online battle arena 

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References

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

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer EngineeringSejong UniversitySeoulSouth Korea

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