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Popularity of Video Games and Collective Memory.

Leonardo O Mendes1, Leonardo R Cunha1, Renio S Mendes1

  • 1Physics Department and National Institute of Science and Technology for Complex Systems, State University of Maringá, Maringá 87020-900, PR, Brazil.

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Video game popularity on Steam shows linear growth in players and categories, with exponential growth in new game releases. A refined model using Box-Cox transformations quantifies memory effects in game popularity.

Keywords:
memory effectsmultiplicative processespopularityvideo games

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Area of Science:

  • Cultural studies
  • Computational social science
  • Media studies

Background:

  • Understanding the permanence of cultural objects is crucial for analyzing societal trends.
  • Video games represent a novel interactive cultural medium where player engagement is integral.
  • Assessing the long-term impact and memory of video games requires quantitative analysis.

Purpose of the Study:

  • To investigate the permanence of video games in collective memory by analyzing their popularity.
  • To model the distribution of video game popularity on the Steam platform.
  • To explore growth trends in players, games, and categories over time.

Main Methods:

  • Utilized Steam platform data from July 2012 to December 2020.
  • Characterized database growth for players, games, and categories.
  • Applied lognormal distribution models and Box-Cox transformations to analyze popularity distributions and memory effects.

Main Results:

  • Observed linear growth in the number of players and game categories.
  • Detected exponential growth in the number of newly released games.
  • Lognormal distributions approximated popularity, with Box-Cox transformations providing improved models interpretable as memory effects.

Conclusions:

  • Video game popularity exhibits predictable growth patterns and distribution characteristics.
  • The Box-Cox transformation parameter offers a quantifiable measure of memory effects in cultural object popularity.
  • This study provides a framework for understanding the enduring presence of digital cultural artifacts.