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...

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Auteurs principaux:	Márton Mestyán, Taha Yasseri, János Kertész
Format:	article
Langue:	EN
Publié:	Public Library of Science (PLoS) 2013
Sujets:	Medicine R Science Q
Accès en ligne:	https://doaj.org/article/cd37cbf5cadb43a686e840404d7c5eff
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id	oai:doaj.org-article:cd37cbf5cadb43a686e840404d7c5eff
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spelling	oai:doaj.org-article:cd37cbf5cadb43a686e840404d7c5eff2021-11-18T08:58:38ZEarly prediction of movie box office success based on Wikipedia activity big data.1932-620310.1371/journal.pone.0071226https://doaj.org/article/cd37cbf5cadb43a686e840404d7c5eff2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23990938/?tool=EBIhttps://doaj.org/toc/1932-6203Use 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.Márton MestyánTaha YasseriJános KertészPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 8, p e71226 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Márton Mestyán Taha Yasseri János Kertész Early prediction of movie box office success based on Wikipedia activity big data.
description	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.
format	article
author	Márton Mestyán Taha Yasseri János Kertész
author_facet	Márton Mestyán Taha Yasseri János Kertész
author_sort	Márton Mestyán
title	Early prediction of movie box office success based on Wikipedia activity big data.
title_short	Early prediction of movie box office success based on Wikipedia activity big data.
title_full	Early prediction of movie box office success based on Wikipedia activity big data.
title_fullStr	Early prediction of movie box office success based on Wikipedia activity big data.
title_full_unstemmed	Early prediction of movie box office success based on Wikipedia activity big data.
title_sort	early prediction of movie box office success based on wikipedia activity big data.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/cd37cbf5cadb43a686e840404d7c5eff
work_keys_str_mv	AT martonmestyan earlypredictionofmovieboxofficesuccessbasedonwikipediaactivitybigdata AT tahayasseri earlypredictionofmovieboxofficesuccessbasedonwikipediaactivitybigdata AT janoskertesz earlypredictionofmovieboxofficesuccessbasedonwikipediaactivitybigdata
_version_	1718421110688579584

Early prediction of movie box office success based on Wikipedia activity big data.

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