漫画小说的复杂网络分析:以《Bande dessinsame Thorgal》为例

IF 0.7 4区 数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Vincent Labatut
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引用次数: 3

摘要

从小说和电影等小说作品中提取和分析人物网络的任务,一直是最近许多出版物的目标。然而,只有极少数人关注漫画小说,欧洲漫画小说就更少了。在这篇文章中,我们集中在Thorgal,一个乐队设计{\'e},即法国-比利时传统的喜剧。我们手动注释该系列的所有卷,以构成一个语料库,使我们能够提取其字符网络。我们对网络结构进行了描述性分析,并将其与现实世界和虚构的社会网络进行了比较。我们还研究了字符过滤对网络结构的影响。最后,我们利用复杂的网络分析工具来回答文献中的两个研究问题,这两个问题与Thorgal和冰岛人的传奇之间的相似性有关;以及女性在系列赛中的地位。我们的数据和源代码都在网上公开。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal
The task of extracting and analyzing character networks from works of fiction, such as novels and movies, has been the object of a number of recent publications. However, only a very few of them focus on graphic novels, and even fewer on European graphic novels. In this article, we focus on Thorgal, a bande dessin{\'e}e, i.e. a comic of the French-Belgian tradition. We manually annotate all the volumes of this series, in order to constitute a corpus allowing us to extract its character network. We perform a descriptive analysis of the network structure and compare it to real-world and fictional social networks. We also study the effect of character filtering over the network structure. Finally, we leverage complex network analysis tools to answer two research questions from the literature, related to the similarity between Thorgal and the Saga of Icelanders; and to the position of women in the series. Our data and source code are both publicly available online.
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来源期刊
Advances in Complex Systems
Advances in Complex Systems 综合性期刊-数学跨学科应用
CiteScore
1.40
自引率
0.00%
发文量
121
审稿时长
6-12 weeks
期刊介绍: Advances in Complex Systems aims to provide a unique medium of communication for multidisciplinary approaches, either empirical or theoretical, to the study of complex systems. The latter are seen as systems comprised of multiple interacting components, or agents. Nonlinear feedback processes, stochastic influences, specific conditions for the supply of energy, matter, or information may lead to the emergence of new system qualities on the macroscopic scale that cannot be reduced to the dynamics of the agents. Quantitative approaches to the dynamics of complex systems have to consider a broad range of concepts, from analytical tools, statistical methods and computer simulations to distributed problem solving, learning and adaptation. This is an interdisciplinary enterprise.
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