Movie actor key attributes success prediction with network community detection

Maryam Zokaeinikoo, Janis Terpenny

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Though the film entertainment industry has the potential for tremendous worldwide revenues, the prediction of success relies on an enormous number of variables. In order to determine the importance of variables which impact a film's success, a prediction model is needed. One approach is to identify communities within the network to predict a movie's success variables such as revenue, winning awards, and ratings. This study focuses on network clustering to identify communities within a large network of movies and actors. The network investigated in this work is a type of collaboration network in which movies are connected to each other if they share at least one actor together. The results indicate how we can identify and use these communities to determine the key attributes which lead to movies' success. We also demonstrate which genre types are more correlated to communities' topology features (density and size).

Original languageEnglish (US)
Title of host publication67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
EditorsHarriet B. Nembhard, Katie Coperich, Elizabeth Cudney
PublisherInstitute of Industrial Engineers
Pages728-733
Number of pages6
ISBN (Electronic)9780983762461
StatePublished - Jan 1 2017
Event67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 - Pittsburgh, United States
Duration: May 20 2017May 23 2017

Publication series

Name67th Annual Conference and Expo of the Institute of Industrial Engineers 2017

Other

Other67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
CountryUnited States
CityPittsburgh
Period5/20/175/23/17

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Zokaeinikoo, M., & Terpenny, J. (2017). Movie actor key attributes success prediction with network community detection. In H. B. Nembhard, K. Coperich, & E. Cudney (Eds.), 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 (pp. 728-733). (67th Annual Conference and Expo of the Institute of Industrial Engineers 2017). Institute of Industrial Engineers.