Which players will leave their community? Predicting guild abandonments in world of warcraft game data

Gergely Posfai, Gabor Magyar, L. Kóczy

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

Abstract

World of Warcraft (WoW) is one of the most popular massively multiplayer online role-playing games (MMORPGs) having more than 10 million subscribers over the world. In order to engage and retain users understanding and predicting their behavior can be very useful for game developers. An important component of WoW are so-called guilds, which are social communities whose members can act together efficiently to accomplish more difficult goals and also provide a social atmosphere in which the game might be more entertaining. In this paper, we build predictive models to forecast which of the players will leave their guild in the close future. Our best model uses fuzzy c-means clustering to capture groups of similar guilds, that serve as the basis of an ensemble model, which computes predictions for each cluster separately and combines individual predictions into one final prediction using the memberships of the fuzzy clusters. Empirical analysis on WoW game data shows that our methods convincingly outperform the only existing method in the literature. To ensure transparency and reproducibility we publish the source codes of the research and also provide a Docker image, which makes it possible for anyone who has Docker installed to reproduce all of our results with a single command.

Original languageEnglish
Title of host publicationIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509049172
DOIs
Publication statusPublished - Aug 30 2017
Event17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017 - Otsu, Japan
Duration: Jun 27 2017Jun 30 2017

Other

Other17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017
CountryJapan
CityOtsu
Period6/27/176/30/17

ASJC Scopus subject areas

  • Logic
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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    Posfai, G., Magyar, G., & Kóczy, L. (2017). Which players will leave their community? Predicting guild abandonments in world of warcraft game data. In IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems [8023234] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFSA-SCIS.2017.8023234