Early prediction of movie box office success based on Wikipedia activity big data
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Global disease monitoring and forecasting with WikipediaUnderstanding Editing Behaviors in Multilingual WikipediaWikipedia traffic data and electoral prediction: towards theoretically informed modelsThe memory remains: Understanding collective memory in the digital ageThe Detection of Emerging Trends Using Wikipedia Traffic Data and Context NetworksDynamics and biases of online attention: the case of aircraft crashesChanges in cultural consumption: ethnographic collections in WikipediaIt’s Not What You Think: Gender Bias in Information about Fortune 1000 CEOs on WikipediaPredicting Virtual World User Population Fluctuations with Deep LearningSearching Choices: Quantifying Decision-Making Processes Using Search Engine DataQuantifying the Search Behaviour of Different Demographics Using Google CorrelateTracking Time Evolution of Collective Attention Clusters in Twitter: Time Evolving Nonnegative Matrix FactorisationPublic Trauma after the Sewol Ferry Disaster: The Role of Social Media in Understanding the Public MoodThe advantage of short paper titles.Quantifying crowd size with mobile phone and Twitter data.Detecting the influence of rare stressors on rare species in Yosemite National Park using a novel stratified permutation testTwitter-Based Analysis of the Dynamics of Collective Attention to Political PartiesThe production of information in the attention economyQuantifying International Travel Flows Using FlickrCross-evaluation of metrics to estimate the significance of creative worksWho tweets? Deriving the demographic characteristics of age, occupation and social class from twitter user meta-dataSelf-organization on social media: endo-exo bursts and baseline fluctuationsMeasuring long-term impact based on network centrality: unraveling cinematic citationsQuantitative analysis of the evolution of novelty in cinema through crowdsourced keywordsMeasuring Global Disease with Wikipedia: Success, Failure, and a Research AgendaQuantifying the effect of sentiment on information diffusion in social mediaThe distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academicsWhen Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation.Waves of novelties in the expansion into the adjacent possibleInspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online NavigationExploratory Models in a time of Big Data
P2860
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P2860
Early prediction of movie box office success based on Wikipedia activity big data
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2013 nî lūn-bûn
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2013 թուականին հրատարակուած գիտական յօդուած
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2013 թվականին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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Early prediction of movie box office success based on Wikipedia activity big data
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label
Early prediction of movie box office success based on Wikipedia activity big data
@ast
Early prediction of movie box office success based on Wikipedia activity big data
@da
Early prediction of movie box office success based on Wikipedia activity big data
@de
Early prediction of movie box office success based on Wikipedia activity big data
@en
Early prediction of movie box office success based on Wikipedia activity big data
@en-gb
Early prediction of movie box office success based on Wikipedia activity big data
@fo
Early prediction of movie box office success based on Wikipedia activity big data
@fr
Early prediction of movie box office success based on Wikipedia activity big data
@is
Early prediction of movie box office success based on Wikipedia activity big data
@kl
Early prediction of movie box office success based on Wikipedia activity big data
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Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data
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Early prediction of movie box office success based on Wikipedia activity big data
@ast
Early prediction of movie box office success based on Wikipedia activity big data
@da
Early prediction of movie box office success based on Wikipedia activity big data
@de
Early prediction of movie box office success based on Wikipedia activity big data
@en
Early prediction of movie box office success based on Wikipedia activity big data
@en-gb
Early prediction of movie box office success based on Wikipedia activity big data
@fo
Early prediction of movie box office success based on Wikipedia activity big data
@fr
Early prediction of movie box office success based on Wikipedia activity big data
@is
Early prediction of movie box office success based on Wikipedia activity big data
@kl
Early prediction of movie box office success based on Wikipedia activity big data
@nb
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Early prediction of movie box office success based on Wikipedia activity big data
@en
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0071226
P4011
46a7464a8926241c8ed78b243ca0bf24253f8786
P407
P577
2013-01-01T00:00:00Z