Complex network measurement and optimization of Chinese domestic movies with internet of things technology

Abstract The market performance prediction of domestic motion picture is an important problem that is worthy of study. In this paper, by incorporating Chinese fine-grained semantic features, we propose a method of community detection and genetic optimization especially for Chinese domestic films. These semantic features, also named as gene elements, are used as nodes to construct a movie complex network. Through leveraging the influence of the node both in the whole network and in the internal community, four unique communities are revealed for successful Chinese movies. Then the Genetic Algorithm (GA) with a proposed novel fitness function is used to obtain the optimal cluster of gene elements. For the other operations in GA (i.e. initialization, selection, crossover and mutation), the parameters are also be optimized by a distinctive evaluation method. Finally, the experiments on the data of Chinese motion pictures in 2016 demonstrate the efficacy and accuracy of the overall system.

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