Movie Box-office Analysis using Social Big Data

Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data

Use of socially generated "big data" to access information about collective states of the minds in human societies has become a new paradigm in the emerging field of computational social science. A natural application of this would be the prediction of the society's reaction to a new product in the sense of popularity and adoption rate. However, bridging the gap between "real time monitoring" a...

Box Office Movie Rating and Take Prediction

Predicting movies’ box office performance is a bit like gambling and predicting the stock market: there’s a lot of luck involved but analyzing the system’s input frequently leads a better result. The inputs to box office prediction are infinite for the most part but there’s little to argue that the actors involved in a new work and those actors’ past performances play a huge role in a movie’s s...

Accounting for latent classes in movie box office modeling

This paper addresses the issue of unobserved heterogeneity in film characteristics influence on boxoffice. We argue that the analysis of pooled samples, most common among researchers, does not shed light on underlying segmentations and leads to significantly different estimates obtained by researchers running similar regressions for movie success modeling. For instance, it may be expected that ...

Dynamics underlying Box-office: Movie Competition on Recommender Systems

We introduce a simple model to study movie competition in the recommender systems. Movies of heterogeneous quality compete against each other through viewers' reviews and generate interesting dynamics of box-office. By assuming mean-field interactions between the competing movies, we show that runaway effect of popularity spreading is triggered by defeating the average review score, leading to ...

The Main Determinants of Bollywood Movie Box Office Sales