Social network analysis of manga: similarities to real-world social networks and trends over decades

IF 1.3 Q3 COMPUTER SCIENCE, THEORY & METHODS Applied Network Science Pub Date : 2023-11-13 DOI:10.1007/s41109-023-00604-0
Kashin Sugishita, Naoki Masuda
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引用次数: 1

Abstract

Abstract Manga, Japanese comics, has been popular on a global scale. Social networks among characters, which are often called character networks, may be a significant contributor to their popularity. We collected data from 162 popular manga that span over 70 years and analyzed their character networks. First, we found that many of static and temporal properties of the character networks are similar to those of real human social networks. Second, the character networks of most manga are protagonist-centered such that a single protagonist interacts with the majority of other characters. Third, the character networks for manga mainly targeting boys have shifted to denser and less protagonist-centered networks and with fewer characters over decades. Manga mainly targeting girls showed the opposite trend except for the downward trend in the number of characters. The present study, which relies on manga data sampled on an unprecedented scale, paves the way for further population studies of character networks and other aspects of comics.
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漫画的社会网络分析:与现实社会网络的相似性和几十年来的趋势
日本漫画在全球范围内都很受欢迎。角色之间的社交网络,通常被称为角色网络,可能是他们受欢迎的一个重要因素。我们收集了跨度超过70年的162部流行漫画的数据,并分析了它们的角色网络。首先,我们发现角色网络的许多静态和时间属性与真实的人类社交网络相似。其次,大多数漫画的角色网络都是以主角为中心的,这样一个主角就会与大多数其他角色互动。第三,几十年来,主要针对男孩的漫画角色网络已经转向更密集、更少以主角为中心的网络,角色也更少。主要以女孩为对象的漫画除了角色数量呈下降趋势外,呈现出相反的趋势。目前的研究依赖于以前所未有的规模抽样的漫画数据,为进一步的人物网络和漫画其他方面的人口研究铺平了道路。
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来源期刊
Applied Network Science
Applied Network Science Multidisciplinary-Multidisciplinary
CiteScore
4.60
自引率
4.50%
发文量
74
审稿时长
5 weeks
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