在动画电影角色网络中发现结构评级关联
Jue Zeng1, Yiwen Tang1, Xueming Liu1
1The MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems, State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Luoyu Road, Wuhan 430074, China.
Entropy (Basel, Switzerland)
|September 27, 2025
概括
较高评级的动画电影具有更复杂的角色网络,具有不同的中心性和不同的关系. 这表明,复杂的,松散连接的角色结构增强了观众的参与度和叙事深度.
科学领域:
- 计算社会科学 计算社会科学
- 网络科学 网络科学
- 电影研究电影研究
背景情况:
- 观众对动画电影的看法受到叙事结构的影响.
- 对角色互动网络及其对电影评级的影响的定量分析是有限的.
研究的目的:
- 量化研究角色互动网络拓如何影响动画电影评级.
- 应用复杂的网络理论来分析动画电影中的叙事结构.
主要方法:
- 通过复杂网络理论分析了82部动画电影.
- 提取了字符网络并检查了诸如中心性,密度和路径长度等拓特征.
- 评估网络内部关系的语义多样性.
主要成果:
- 评级更高的电影表现出更大的中心性,异质性和更丰富的语义多样性.
- 收视率较高的电影显示网络密度和效率较低,平均最短路径长度较长.
- 结构模式表明松散连接,层次网络与积极接收相关.
结论:
- 复杂的,层次化的角色网络增强了动画电影中的叙事复杂性和观众参与度.
- 该研究提供了一个基于数据的框架,用于在各种媒体上进行叙事设计和分析.
- 调查结果提供了对有助于成功讲故事的结构元素的见解.
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