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  5. Discovering Structure in Social Networks of 19th Century Fiction
 
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Discovering Structure in Social Networks of 19th Century Fiction

Author(s)
Grayson, Siobhán  
Wade, Karen  
Meaney, Gerardine  
Rothwell, Jennie  
Mulvany, Maria  
Greene, Derek  
Uri
http://hdl.handle.net/10197/8425
Date Issued
2016-05-25
Date Available
2017-04-07T15:30:48Z
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
Subjects

Machine learning

Statistics

Digital humanities

Social network analys...

Literary Analysis

DOI
10.1145/2908131.2908196
Language
English
Status of Item
Peer reviewed
Journal
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
ISBN
9781450342087
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Thumbnail Image
Name

websci2016-preprint.pdf

Size

198.69 KB

Format

Adobe PDF

Checksum (MD5)

c89ca2b1d4b294935ad40144b618131f

Owning collection
Insight Research Collection
Mapped collections
English, Drama & Film Research Collection•
UCD Humanities Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

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