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Discovering Structure in Social Networks of 19th Century Fiction

File(s)
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Download websci2016-preprint.pdf198.69 KB
Author(s)
Grayson, Siobhán 
Wade, Karen 
Meaney, Gerardine 
Rothwell, Jennie 
Mulvany, Maria 
Greene, Derek 
Uri
http://hdl.handle.net/10197/8425
Date Issued
25 May 2016
Date Available
07T15:30:48Z April 2017
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.
Sponsorship
Irish Research Council
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Start Page
325
End Page
326
Copyright (Published Version)
2016 the Authors
Keywords
  • Machine learning

  • Statistics

  • Digital humanities

  • Social network analys...

  • Literary Analysis

DOI
10.1145/2908131.2908196
Language
English
Status of Item
Peer reviewed
Part of
WebSci '16: Proceedings of 8th International ACM Web Science Conference 2016
Description
8th International ACM Web Science Conference 2016, Hanover, Germany, 22-25 may 2016
ISBN
9781450342087
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Insight Research Collection
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