Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2013-08-21
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en
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PloS one, Volume 8, issue 8, pp. 1-8
Abstract
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" and "early predicting" remains a big challenge. Here we report on an endeavor to build a minimalistic predictive model for the financial success of movies based on collective activity data of online users. We show that the popularity of a movie can be predicted much before its release by measuring and analyzing the activity level of editors and viewers of the corresponding entry to the movie in Wikipedia, the well-known online encyclopedia.Description
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Mestyán, M, Yasseri, T & Kertész, J 2013, ' Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data ', PloS one, vol. 8, no. 8, e71226, pp. 1-8 . https://doi.org/10.1371/journal.pone.0071226