Modeling player performance in massively multiplayer online role-playing games

The effects of diversity in mentoring network

Kyong Jin Shim, Kuo Wei Hsu, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This study investigates and reports preliminary findings on player performance prediction approaches which model player's past performance and social diversity in mentoring network in EverQuest II, a popular massively multiplayer online role-playing game (MMORPG) developed by Sony Online Entertainment. Our contributions include a better understanding of performance metrics used in the game and a foundation of recommendation systems for mentors and apprentices. We examined three different game servers from the EverQuest II game logs. In all three servers, the results from our analyses suggest that increase in social diversity in terms of characters and classes encountered moderately negatively correlates with player performance. Based on this finding, we built predictive models to predict player's future performance based on past performance and social diversity in terms of mentoring activities. Our results indicate that 1) models employing past performance and social diversity perform better and 2) prediction for mentors is generally better than that for apprentices.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
Pages438-442
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung
Duration: 25 Jul 201127 Jul 2011

Other

Other2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
CityKaohsiung
Period25/7/1127/7/11

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Keywords

  • Massively multiplayer online games
  • Mentoring
  • Player performance
  • Video games

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Shim, K. J., Hsu, K. W., & Srivastava, J. (2011). Modeling player performance in massively multiplayer online role-playing games: The effects of diversity in mentoring network. In Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 (pp. 438-442). [5992611] https://doi.org/10.1109/ASONAM.2011.113

Modeling player performance in massively multiplayer online role-playing games : The effects of diversity in mentoring network. / Shim, Kyong Jin; Hsu, Kuo Wei; Srivastava, Jaideep.

Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. 2011. p. 438-442 5992611.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shim, KJ, Hsu, KW & Srivastava, J 2011, Modeling player performance in massively multiplayer online role-playing games: The effects of diversity in mentoring network. in Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011., 5992611, pp. 438-442, 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011, Kaohsiung, 25/7/11. https://doi.org/10.1109/ASONAM.2011.113
Shim KJ, Hsu KW, Srivastava J. Modeling player performance in massively multiplayer online role-playing games: The effects of diversity in mentoring network. In Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. 2011. p. 438-442. 5992611 https://doi.org/10.1109/ASONAM.2011.113
Shim, Kyong Jin ; Hsu, Kuo Wei ; Srivastava, Jaideep. / Modeling player performance in massively multiplayer online role-playing games : The effects of diversity in mentoring network. Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011. 2011. pp. 438-442
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