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Statistical Patterns in Movie Rating Behavior.

Ramos M, Calvão AM, Anteneodo C - PLoS ONE (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, PUC-Rio, Rio de Janeiro, Brazil.

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.

No MeSH data available.


Impact of a movie’s age on the distribution of votes.P(nv) for IMDb movies (a) with less than a given number of years, and (b) released within the interval indicated on the figure, chosen to contain the same number of movies.
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pone.0136083.g005: Impact of a movie’s age on the distribution of votes.P(nv) for IMDb movies (a) with less than a given number of years, and (b) released within the interval indicated on the figure, chosen to contain the same number of movies.

Mentions: Again in this case, we analyzed P(nv) for subsets separated by the year of release. Sets of movies younger than y years, even those released within one year and hence with worse statistics, present the same pattern over the entire interval (see Fig 5a). To take an even closer look, we examined movies grouped by release time interval (Fig 5b). A significant discrepancy exists only for older movies, at the tail above 104 votes, in accordance with Fig 4, which shows that the cutoff occurs at a smaller nv as age increases. However, the scaling region still spans more than three orders of magnitude of nv, even in this case.


Statistical Patterns in Movie Rating Behavior.

Ramos M, Calvão AM, Anteneodo C - PLoS ONE (2015)

Impact of a movie’s age on the distribution of votes.P(nv) for IMDb movies (a) with less than a given number of years, and (b) released within the interval indicated on the figure, chosen to contain the same number of movies.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4555649&req=5

pone.0136083.g005: Impact of a movie’s age on the distribution of votes.P(nv) for IMDb movies (a) with less than a given number of years, and (b) released within the interval indicated on the figure, chosen to contain the same number of movies.
Mentions: Again in this case, we analyzed P(nv) for subsets separated by the year of release. Sets of movies younger than y years, even those released within one year and hence with worse statistics, present the same pattern over the entire interval (see Fig 5a). To take an even closer look, we examined movies grouped by release time interval (Fig 5b). A significant discrepancy exists only for older movies, at the tail above 104 votes, in accordance with Fig 4, which shows that the cutoff occurs at a smaller nv as age increases. However, the scaling region still spans more than three orders of magnitude of nv, even in this case.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, PUC-Rio, Rio de Janeiro, Brazil.

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.

No MeSH data available.