| 2017年中国内地电影复杂网络建模与分析 |
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| 引用本文： | 刘亚云,艾 均,苏 湛.2017年中国内地电影复杂网络建模与分析[J].教育技术导刊,2020,19(2):27-34. |
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| 作者姓名： | 刘亚云 艾 均 苏 湛 |
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| 作者单位： | 上海理工大学 光电信息与计算机工程学院，上海 200093 |
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| 基金项目： | 国家自然科学基金青年项目（61803264） |
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| 摘 要： | 复杂网络理论可用于分析各领域的复杂系统。针对中国内地电影的复杂关系，设计网络建模算法，依据2017年票房榜排名前200的电影信息，以数据集中的实体为节点、实体之间的关系为边，构建复杂网络模型，基于该模型对2017年度中国内地电影复杂网络进行分析。结果表明，高产演员对票房无明显影响；介数中心性和特征向量中心性均小于特定值时，电影票房失败的概率较高；介数中心性和特征向量中心性分布在特定区域之内时，电影获得高票房的概率高达73%。建模实验与基于模型的分析证明了2017年中国内地电影复杂网络建模的有效性，揭示了电影票房和电影复杂网络中节点中心性之间的相关性。
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| 关 键 词： | 复杂网络 电影票房 度值中心性 介数中心性 特征向量中心性 |
| 收稿时间： | 2019-05-09 |
Complex Network Modeling and Analysis of Chinese Mainland Films in 2017 |
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| LIU Ya-yun,AI Jun,SU Zhan.Complex Network Modeling and Analysis of Chinese Mainland Films in 2017[J].Introduction of Educational Technology,2020,19(2):27-34. |
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| Authors: | LIU Ya-yun AI Jun SU Zhan |
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| Institution: | School of Optical-Electrical and Computer Engineering，University of Shanghai for Science and Technology， Shanghai 200093，China |
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| Abstract: | Complex network theory can be used to analyze complex systems in various fields. Aiming at the complex relationship between Chinese mainland movies， the network modeling algorithm was designed. Based on the top 200 movies in the 2017 box office list， the complex network model was constructed by taking the entities in the data set as nodes and the relationship between entities as edges. Based on this model， the 2017 complex network of Chinese mainland films was analyzed. The analysis found that productive actors have no significant influence on the box office； when the betweenness centrality and the eigenvector centrality are less than a certain value， the probability of a failure box office is higher； when the betweenness centrality and the eigenvector centrality are distributed within a specific area， the probability of a movie getting a high box office is as high as 73%. Experiments and analysis proved the effectiveness of the complex network modeling of Chinese movie in 2017， revealing the correlation between the centrality of the box office and the complex network of movies. |
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| Keywords: | complex networks box office degree centrality betweenness centrality eigenvector centrality |
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