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Statistical Patterns in Movie Rating Behavior.

Marlon Ramos1, Angelo M Calvão1, Celia Anteneodo2

  • 1Department of Physics, PUC-Rio, Rio de Janeiro, Brazil.

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Summary
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Movie ratings on the Internet Movie Database (IMDb) exhibit scale-free behavior, revealing universal patterns in audience adoption. This voting pattern is consistent across most movies, regardless of genre or budget.

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Area of Science:

  • Network Science
  • Computational Social Science
  • Information Science

Background:

  • Online platforms facilitate user reviews and ratings, creating vast datasets for analyzing consumer preferences and behaviors.
  • The Internet Movie Database (IMDb) is a globally popular platform for movie information and user ratings.

Purpose of the Study:

  • To investigate voting patterns in movie ratings using IMDb data.
  • To identify underlying mechanisms driving audience adoption of movies.

Main Methods:

  • Analysis of vote distribution from the Internet Movie Database (IMDb).
  • Statistical analysis to identify scale-free behavior and its characteristics (exponent, cutoff).
  • Examination of patterns across different movie attributes (average rating, age, genre, budget).

Main Results:

  • Movie vote distribution on IMDb demonstrates scale-free behavior over several orders of magnitude, with an exponent near 3/2 and an exponential cutoff.
  • This scale-free pattern is largely independent of movie attributes like average rating, age, and genre, with minor exceptions.
  • High-budget films showed some deviation from the general pattern.

Conclusions:

  • A general mechanism underlies the propagation of movie adoption across audiences, independent of intrinsic movie features.
  • The observed patterns can be explained by a simple spreading model incorporating mean-field avalanche dynamics.