Similar Yet Different: the Structure of Social Networks of Characters in Seinfeld, Friends, How I met Your Mother, and The Big Bang Theory

A. Bazzan
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引用次数: 1

Abstract

Networktheoryhasbeenusedtoanalyzestructuresofnarrativesinworksoffiction.Indeed,previous works have shed light on issues related to role detection, for instance. However, few comparative works exist that deal with TV shows. Since these shows are very popular, there are several Internet forums that suggest how similar some of them are, mostly by comparing roles or importance of core characters. Is this popular intuition backed by an objective, numerical analysis using tools from network theory? The goal of this paper is to compare four situation comedies ( Seinfeld ,  Friends ,  How I Met Your Mother , and  The Big Bang Theory ) that share a lot in common since their characters are friends living in similar, urban, environments, struggling with their daily lives, careers, and so on. Using tools for analyzing social networks, these shows were compared, showing that their structures and the roles of the core characters are fundamentally different. The only measure that proved to be similar among the four shows is entropy of their graphs, especially when computed over the degree distribution.
相似而又不同:《宋飞正传》、《老友记》、《老爸老妈浪漫史》和《生活大爆炸》中角色的社交网络结构
Networktheoryhasbeenusedtoanalyzestructuresofnarrativesinworksoffiction。事实上,以前的工作已经阐明了与角色检测相关的问题。然而,很少有关于电视节目的比较作品存在。由于这些剧都很受欢迎,有几个网络论坛通过比较角色或核心角色的重要性来暗示其中一些剧有多相似。这种流行的直觉是否得到了客观的、使用网络理论工具的数值分析的支持?本文的目的是比较四部情景喜剧(《宋飞正传》、《老友记》、《老爸老妈浪漫史》和《生活大爆炸》),它们有很多共同点,因为它们的角色都是生活在相似的城市环境中的朋友,为日常生活、事业等而奋斗。利用分析社交网络的工具,对这些电视剧进行了比较,发现它们的结构和核心人物的角色有着根本的不同。在这四个节目中,唯一被证明相似的是它们的图的熵,尤其是在度分布上计算的熵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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