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With the rise of the competition in the movie production market, because ofnew players such as Netflix, Hulu, HBO Max, and Amazon Prime, whose primarygoal is producing a large amount of exclusive content in order to gain acompetitive advantage, it is extremely important to minimize the number ofunsuccessful titles. This paper focuses on new approaches to predict filmsuccess, based on the movie industry community structure, and highlights therole of the casting director in movie success. Based on publicly available datawe create an "actor"-"casting director"-"talent agent"-"director" communicationgraph and show that usage of additional knowledge leads to better movie ratingprediction.

Social Network Analysis of the Professional Community Interaction -- Movie Industry Case