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Analyzing Effects of Public Communication onto Player Behavior in Massively Multiplayer Online Games

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Predicting Real World Behaviors from Virtual World Data

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

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Abstract

In this preliminary work, we study how public forum communication reflects and shapes virtual world behavior. We find that in-game groups have differential public posting habits; that player behavior is reflected in public communication (in particular, players who attack more are mentioned more in the public forums), and finally that public and personal communications are linked, those who speak together publicly also speak together privately.

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Notes

  1. 1.

    For instance, World of Warcraft offers a forum at http://us.battle.net/wow/en/forum/.

  2. 2.

    For instance, in the data set we investigate below, public forums were viewed more than 5 million times, even though the number of poster was a tiny fraction of the people who actually played.

  3. 3.

    To preserve the confidentiality of the game, we have anonymized some of the terms describing the game. No descriptions of gameplay dynamics have been changed.

  4. 4.

    Rankit is the Rank Inverse Log Transformation function: \(f(x) = \Phi^{-1}((x_{r}-.5)/n)\), where x r is the rank of x and \(\Phi^{-1}\) is the inverse normal cumulative distribution function.

References

  1. Yee, N.: Motivations for play in online games. Cyberpsychol. Behav. 9(6), 772–775 (2006)

    Article  Google Scholar 

  2. Ducheneaut, N., Moore, R.J.: The social side of gaming: a study of interaction patterns in a massively multiplayer online game. Proceedings of the 2004 ACM conference on computer supported cooperative work, ser. CSCW '04, pp. 360–369. ACM, New York (2004) [Online]. http://doi.acm.org/10.1145/1031607.1031667

  3. Tausczik, Y.R., Pennebaker, J.W.: The psychological meaning of words: LIWC and computerized text analysis methods. J. Lang. Soc. Psychol. 29(1), 24–54 (2010) [Online]. http://jls.sagepub.com/content/29/1/24

    Article  Google Scholar 

  4. Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends® Inf. Retr. 2(1–2), 1–135 (2008) [Online]. http://www.nowpublishers.com/articles/foundations-and-trends-in-information-retrieval/INR-011;jsessionid=5C25DD6BCF066D71D33A9D0EB8FEAF74

    Article  Google Scholar 

  5. Yee, N., Ducheneaut, N., Nelson, L., LIkarish, P.: Introverted elves & conscientious gnomes: the expression of personality in world of Warcraft. Proceedings of CHI 2011, Vancouver, (2011)

    Google Scholar 

  6. Yee, N., Harris, H., Jabon, M., Bailenson, J.N.: The expression of personality in virtual worlds. Soc. Psychol. Personal. Sci. 2(1), 5–12 (2011)

    Article  Google Scholar 

  7. Yee, N.: The demographics, motivations, and derived experiences of users of massively multi-user online graphical environments. Presence (Camb). 15(3), 309–329 (2006) [Online]. http://dx.doi.org/10.1162/pres.15.3.309

    Article  Google Scholar 

  8. Drachen, A., Sifa, R., Bauckhage, C., Thurau, C.: Guns, swords and data: clustering of player behavior in computer games in the wild. 2012 IEEE conference on Computational Intelligence and Games (CIG), pp. 163–170, Sept. (2012)

    Google Scholar 

  9. Drachen, A., Canossa, A., Yannakakis, G.: Player modeling using self-organization in tomb raider: underworld. 2009 IEEE symposium on Computational Intelligence and Games (CIG), pp. 1–8, Sept. (2009)

    Google Scholar 

  10. Borbora, Z., Srivastava, J.: User behavior modelling approach for churn prediction in online games. Privacy, Security, Risk and Trust (PASSAT), 2012 international conference on Social Computing (SocialCom), pp. 51–60, Sept. (2012)

    Google Scholar 

  11. Bishara, A.J., Hittner, J.B.: Testing the significance of a correlation with nonnormal data: comparison of pearson, spearman, transformation, and resampling approaches. Psychol. Methods. 17(3), 399–417 (2012) (pMID: 22563845)

    Article  Google Scholar 

  12. Haythornthwaite, C.: Strong, weak, and latent ties and the impact of new media. Inf. Soc. 18(5), 385–401 (2002) [Online]. http://www.eric.ed.gov/ERICWebPortal/detail?accno=EJ668329

    Article  Google Scholar 

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Acknowledgments

Sandia National Laboratories is a multiprogram laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the US Department of Energys National Nuclear Security Administration under contract DE-AC04-94AL85000.

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Correspondence to Kiran Lakkaraju .

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Lakkaraju, K., Bernstein, J., Whetzel, J. (2014). Analyzing Effects of Public Communication onto Player Behavior in Massively Multiplayer Online Games. In: Ahmad, M., Shen, C., Srivastava, J., Contractor, N. (eds) Predicting Real World Behaviors from Virtual World Data. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-07142-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-07142-8_3

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  • Publisher Name: Springer, Cham

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