Discovering Structure in Social Networks of 19th Century Fiction

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Title: Discovering Structure in Social Networks of 19th Century Fiction
Authors: Grayson, Siobhán
Wade, Karen
Meaney, Gerardine
Rothwell, Jennie
Mulvany, Maria
Greene, Derek
Permanent link: http://hdl.handle.net/10197/8425
Date: 25-May-2016
Abstract: Inspired by the increasing availability of large text corpora online, digital humanities scholars are adopting computational approaches to explore questions in the field of literature from new perspectives. In this paper, we examine detailed social networks of characters, extracted from several works of 19th century fiction by Jane Austen and Charles Dickens. This allows us to apply methodologies from social network analysis, such as community detection, to explore the structure of these networks. By evaluating the results in collaboration with literary scholars, we find that the structure of the character networks can reveal underlying structural aspects within a novel, particularly in relation to plot and characterisation.
Funding Details: Irish Research Council
Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2016 the Authors
Keywords: Machine learning;Statistics;Digital humanities;Social network analysis;Literary Analysis
DOI: 10.1145/2908131.2908196
Language: en
Status of Item: Peer reviewed
Is part of: WebSci '16: Proceedings of 8th International ACM Web Science Conference 2016
Conference Details: 8th International ACM Web Science Conference 2016, Hanover, Germany, 22-25 may 2016
Appears in Collections:English, Drama & Film Research Collection
UCD Humanities Institute Research Collection
Insight Research Collection

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