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Measuring Long-Term Impact Based on Network Centrality: Unraveling Cinematic Citations

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  • Andreas Spitz
  • Emőke-Ágnes Horvát

Abstract

Traditional measures of success for film, such as box-office revenue and critical acclaim, lack the ability to quantify long-lasting impact and depend on factors that are largely external to the craft itself. With the growing number of films that are being created and large-scale data becoming available through crowd-sourced online platforms, an endogenous measure of success that is not reliant on manual appraisal is of increasing importance. In this article we propose such a ranking method based on a combination of centrality indices. We apply the method to a network that contains several types of citations between more than 40,000 international feature films. From this network we derive a list of milestone films, which can be considered to constitute the foundations of cinema. In a comparison to various existing lists of ‘greatest’ films, such as personal favourite lists, voting lists, lists of individual experts, and lists deduced from expert polls, the selection of milestone films is more diverse in terms of genres, actors, and main creators. Our results shed light on the potential of a systematic quantitative investigation based on cinematic influences in identifying the most inspiring creations in world cinema. In a broader perspective, we introduce a novel research question to large-scale citation analysis, one of the most intriguing topics that have been at the forefront of scientific enquiries for the past fifty years and have led to the development of various network analytic methods. In doing so, we transfer widely studied approaches from citation analysis to the the newly emerging field of quantification efforts in the arts. The specific contribution of this paper consists in modelling the multidimensional cinematic references as a growing multiplex network and in developing a methodology for the identification of central films in this network.

Suggested Citation

  • Andreas Spitz & Emőke-Ágnes Horvát, 2014. "Measuring Long-Term Impact Based on Network Centrality: Unraveling Cinematic Citations," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
  • Handle: RePEc:plo:pone00:0108857
    DOI: 10.1371/journal.pone.0108857
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    References listed on IDEAS

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    1. Márton Mestyán & Taha Yasseri & János Kertész, 2013. "Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    2. Morris Holbrook & Michela Addis, 2008. "Art versus commerce in the movie industry: a Two-Path Model of Motion-Picture Success," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(2), pages 87-107, June.
    3. Darcy A Davis & Nitesh V Chawla, 2011. "Exploring and Exploiting Disease Interactions from Multi-Relational Gene and Phenotype Networks," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-9, July.
    4. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    5. Hidalgo, Cesar A. & Rodriguez-Sickert, C., 2008. "The dynamics of a mobile phone network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 3017-3024.
    6. Linda See & Alexis Comber & Carl Salk & Steffen Fritz & Marijn van der Velde & Christoph Perger & Christian Schill & Ian McCallum & Florian Kraxner & Michael Obersteiner, 2013. "Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    7. Gerda Gemser & Martine Oostrum & Mark Leenders, 2007. "The impact of film reviews on the box office performance of art house versus mainstream motion pictures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(1), pages 43-63, March.
    8. Holbrook, Morris B, 1999. "Popular Appeal versus Expert Judgments of Motion Pictures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(2), pages 144-155, September.
    9. Peter Boatwright & Suman Basuroy & Wagner Kamakura, 2007. "Reviewing the reviewers: The impact of individual film critics on box office performance," Quantitative Marketing and Economics (QME), Springer, vol. 5(4), pages 401-425, December.
    10. E. A. Leicht & G. Clarkson & K. Shedden & M. E.J. Newman, 2007. "Large-scale structure of time evolving citation networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 59(1), pages 75-83, September.
    11. Iain Pardoe & Dean K. Simonton, 2008. "Applying discrete choice models to predict Academy Award winners," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 375-394, April.
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    1. Bernardo Monechi & Ãlvaro Ruiz-Serrano & Francesca Tria & Vittorio Loreto, 2017. "Waves of novelties in the expansion into the adjacent possible," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-18, June.

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