Social Network Analysis and Gaming: Survey of the Current State of Art

  • Wolfgang Eugen Schlauch
  • Katharina Anna Zweig
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9090)


We report on the current state of the art of social network analysis based on the enormous datasets that exist in massive multiplayer online games and multiplayer online arena games. At least since the rise of World Of Warcraft as a massive multiplayer online game, the online gaming world is slowly becoming a center of attention for game developers and players, but there is still little analysis done on the connections between the players of a game. In this paper, an overview of what can be entailed by such an analysis is given, including a wide range of possible approaches, including classic social network analysis, or how to find a not predefined order of referral between the players. The biggest problem for this new area of research is the dynamic of connections coupled with the enormous amount of data and the unknown relations between players in their real lives and other games. But exactly these connections are crucial for serious game development. Acquiring information about the social structure behind these games can give valuable insights for developers.


Massive multiplayer online game Multiplayer online battlefield arena Social network analysis 


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  1. 1.
    Parks, M.R., Floyd, K.: Making friends in cyberspace. Journal of Communication 46(1), 80–97 (1996)CrossRefGoogle Scholar
  2. 2.
    Ferrari, S.: From generative to conventional play: Moba and league of legends. DiGRA 2013 (2013)Google Scholar
  3. 3.
    Huffaker, D.A., Wang, J.A., Treem, J.W., Ahmad, M.A., Fullerton, L., Williams, D., Marshall, P.S., Contractor, N.S.: The social behaviors of experts in massive multiplayer online role-playing games. In: CSE (4), pp. 326–331. IEEE Computer Society (2009)Google Scholar
  4. 4.
    Kirman, B., Lawson, S.: Hardcore classification: Identifying play styles in social games using network analysis. In: Natkin, S., Dupire, J. (eds.) ICEC. LNCS, vol. 5709, pp. 246–251. Springer, Heidelberg (2009)Google Scholar
  5. 5.
    Putzke, J., Fischbach, K., Schoder, D.: Power structure and the evolution of social networks in massively multiplayer online games. In: ECIS (2010)Google Scholar
  6. 6.
    Putzke, J., Fischbach, K., Schoder, D., Gloor, P.A.: The evolution of interaction networks in massively multiplayer online games. J. AIS 11(2) (2010)Google Scholar
  7. 7.
    Ducheneaut, N., Yee, N., Nickell, E., Moore, R.J.: Alone together?: exploring the social dynamics of massively multiplayer online games. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 407–416 (2006)Google Scholar
  8. 8.
    Iosup, A., Lascateu, A., Tapus, N.: Cameo: Enabling social networks for massively multiplayer online games through continuous analytics and cloud computing. In: NETGAMES, pp. 1–6 (2010)Google Scholar
  9. 9.
    Shen, C.: Network patterns and social architecture in massively multiplayer online games: Mapping the social world of everquest ii. SAGE Journals (2014)Google Scholar
  10. 10.
    Szell, M., Thurner, S.: Measuring social dynamics in a massive multiplayer online game. Social Networks 32(4), 313–329 (2010)CrossRefGoogle Scholar
  11. 11.
    Cross, R., Parker, A.: The Hidden Power of Social Networks: Understanding how Work Really Gets Done in Organizations. Harvard Business School Press (2004)Google Scholar
  12. 12.
    Kohli, P., Bachrach, Y., Graepel, T., Smyth, G., Armstrong, M., Stillwell, D., Herbrich, R., Kearns, M.: Behavioral game theory on online social networks: Colonel blotto is on facebook (2012)Google Scholar
  13. 13.
    Burroughs, B.: Facebook and farmville: A digital ritual analysis of social gaming and community. In Krzywinska, T. (ed.) Games and Culture. vol. 9, pp. 151–161 (2014)Google Scholar
  14. 14.
    Yee, N.: Motivations for play in online games. Cyberpsy. Behavior, and Soc. Networking 9(6), 772–775 (2006)Google Scholar
  15. 15.
    Stensson, E.: The social structure of massive multiplayer online game communities (2009)Google Scholar
  16. 16.
    Mizes, J.S., Fleece, E.L., Roos, C.: Incentives for increasing return rates: Magnitude levels, response bias, amd format. Public Opinion Quarterly 48(4), 794–800 (1984)CrossRefGoogle Scholar
  17. 17.
    Deutskens, E., de Ruyter, K.C., Wetzels, M., Oosterveld, P.: Response rate and response quality of internet-based surveys: An experimental study. Marketing Letters 15(1), 21–36 (2004)CrossRefGoogle Scholar
  18. 18.
    Fielding, N.: The SAGE handbook of online research methods. SAGE, July 2008Google Scholar
  19. 19.
    Iosup, A., van de Bovenkamp, R., Shen, S., Jia, A.L., Kuipers, F.A.: Analyzing implicit social networks in multiplayer online games. IEEE Internet Computing 18(3), 36–44 (2014)CrossRefGoogle Scholar
  20. 20.
    Kang, S.J., Kim, Y.B., Park, T., Kim, C.H.: Automatic player behavior analysis system using trajectory data in a massive multiplayer online game. Multimedia Tools Appl. 66(3), 383–404 (2013)CrossRefGoogle Scholar
  21. 21.
    Pang, S., Chen, C.: Community analysis of social network in mmog. Int. J. Communications Network and System Sciences 3, 133–139 (2010)CrossRefGoogle Scholar
  22. 22.
    Zhuang, X., Bharambe, A., Pang, J., Seshan, S.: Player dynamics in massively multiplayer online games (2007)Google Scholar
  23. 23.
    Shim, K.J., Pathak, N., Ahmad, M.A., DeLong, C., Borbora, Z., Mahapatra, A., Srivastava, J.: Analyzing Human Behavior from Multiplayer Online Game Logs: A Knowledge Discovery Approach. IEEE Intelligent Systems 26(1) (2011)Google Scholar
  24. 24.
    Szell, M., Thurner, S.: Social dynamics in a large-scale online game. Advances in Complex Systems 15(6) (2012)Google Scholar
  25. 25.
    Wood, R.T., Griffiths, M.D., Eatough, V.: Online data collection from video game players: Methodological issues. CyberPsychology & Behavior 7(5), 511–518 (2004)CrossRefGoogle Scholar
  26. 26.
    Lee, H.J., Choi, J., Kim, J.W., Park, S.J., Gloor, P.A.: Communication, opponents, and clan performance in online games: A social network approach. Cyberpsy., Behavior, and Soc. Networking 16(12), 878–883 (2013)CrossRefGoogle Scholar
  27. 27.
    Ducheneaut, N., Yee, N., Nickell, E., Moore, R.J.: The life and death of online gaming communities: a look at guilds in world of warcraft. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI 2007, pp. 839–848. ACM, New York, NY, USA (2007)Google Scholar
  28. 28.
    Ang, C.: Interaction networks and patterns of guild community in massively multiplayer online games. Social Network Analysis and Mining 1(4), 341–353 (2011)CrossRefGoogle Scholar
  29. 29.
    Wasserman, S., Faust, K.: Social network analysis: Methods and applications, vol. 8. Cambridge University Press (1994)Google Scholar
  30. 30.
    Newman, M.E.J., Girvan, M.: Mixing patterns and community structure in networks. In: Pastor-Satorras, R., Rubi, M., Diaz-Guilera, A. (eds.) Statistical Mechanics of Complex Networks. Lecture Notes in Physics, vol. 625, pp. 66–87. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  31. 31.
    Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Physical Review E 69(026113) (2004)Google Scholar
  32. 32.
    Blondel, V., Guillaume, J., Lambiotte, R., Mech, E.: Fast unfolding of communities in large networks. J. Stat. Mech, P10008 (2008)Google Scholar
  33. 33.
    Snijders, T.A., van de Bunt, G.G., Steglich, C.E.: Introduction to stochastic actor-based models for network dynamics. Social Networks 32(1), 44–60 (2010). Dynamics of Social NetworksCrossRefGoogle Scholar
  34. 34.
    Antal, T., Krapivsky, P.L., Redner, S.: Social balance on networks: The dynamics of friendship and enmity. Physica D: Nonlinear Phenomena 224(1–2), 130–136 (2006)CrossRefMATHMathSciNetGoogle Scholar
  35. 35.
    Heider, F.: Attitudes and cognitive organization. The Journal of Psychology 21, 107–112 (1946)CrossRefGoogle Scholar
  36. 36.
    Blackburn, J., Simha, R., Kourtellis, N., Zuo, X., Ripeanu, M., Skvoretz, J., Iamnitchi, A.: Branded with a scarlet “c”: Cheaters in a gaming social network. Proceedings of the 21st International Conference on World Wide Web. WWW 2012, pp. 81–90. ACM, New York, NY, USA (2012)Google Scholar
  37. 37.
    Wendel, V., Hertin, F., Göbel, S., Steinmetz, R.: Collaborative learning by means of multiplayer serious games. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds.) Advances in Web-Based Learning - ICWL 2010. LNCS, vol. 6483, pp. 289–298. Springer, Berlin Heidelberg (2010)CrossRefGoogle Scholar
  38. 38.
    Wendel, V., Babarinow, M., Hoerl, T., Kolmogorov, S., Göbel, S., Steinmetz, R.: Woodment: Web-based collaborative multiplayer serious game. In: Zhang, X., Zhong, S., Pan, Z., Wong, K., Yun, R. (eds.) Transactions on Edutainment IV. LNCS, vol. 6250, pp. 68–78. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  39. 39.
    Rankin, Y., Morrison, D., Shute, M.: Utilizing massively multiplayer online games to foster collaboration and learning. In: 2009 Atlanta Conference on Science and Innovation Policy, pp. 1–10, October 2009Google Scholar
  40. 40.
    Lancichinetti, A., Fortunato, S.: Community detection algorithms: a comparative analysis. Physical review E 80(5), 056117 (2009)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Wolfgang Eugen Schlauch
    • 1
  • Katharina Anna Zweig
    • 1
  1. 1.Graph Theory and Complex Network Analysis, Department of Computer ScienceUniversity of KaiserslauternKaiserslauternGermany

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