title: Statistical Patterns in Movie Rating Behavior.
abstract: Currently, users and consumers can review and rate products through online services, which provide huge databases that can be used to explore people's preferences and unveil behavioral patterns. In this work, we investigate patterns in movie ratings, considering IMDb (the Internet Movie Database), a highly visited site worldwide, as a source. We find that the distribution of votes presents scale-free behavior over several orders of magnitude, with an exponent very close to 3/2, with exponential cutoff. It is remarkable that this pattern emerges independently of movie attributes such as average rating, age and genre, with the exception of a few genres and of high-budget films. These results point to a very general underlying mechanism for the propagation of adoption across potential audiences that is independent of the intrinsic features of a movie and that can be understood through a simple spreading model with mean-field avalanche dynamics.
authors: Department of Physics, PUC-Rio, Rio de Janeiro, Brazil.
authors: Marlon
authors: M
authors: Ramos
authors: Department of Physics, PUC-Rio, Rio de Janeiro, Brazil.
authors: Angelo M
authors: AM
authors: Calvão
authors: Department of Physics, PUC-Rio, Rio de Janeiro, Brazil; National Institute of Science and Technology for Complex Systems, Rio de Janeiro, Brazil.
authors: Celia
authors: C
authors: Anteneodo
mesh_terms: D001519:Behavior / Q000502:physiology*; D016208:Databases, Factual / Q000706:statistics & numerical data; D006801:Humans; D020407:Internet / Q000706:statistics & numerical data; D008402:Mass Media / Q000706:statistics & numerical data*