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Narrative structure of A Song of Ice and Fire creates a fictional world with realistic measures of social complexity

Abstract:

Network science and data analytics are used to quantify static and dynamic structures in George R. R. Martin’s epic novels, A Song of Ice and Fire, works noted for their scale and complexity. By tracking the network of character interactions as the story unfolds, it is found that structural properties remain approximately stable and comparable to real-world social networks. Furthermore, the degrees of the most connected characters reflect a cognitive limit on the number of concurrent social c...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1073/pnas.2006465117

Authors


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Role:
Author
ORCID:
0000-0002-4425-8746
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Role:
Author
ORCID:
0000-0003-4137-7050
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Institution:
University of Oxford
Division:
MSD
Sub department:
Experimental Psychology
Role:
Author
ORCID:
0000-0002-9982-9702
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Role:
Author
ORCID:
0000-0001-9990-4277
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Role:
Author
ORCID:
0000-0002-5163-9264
Publisher:
National Academy of Sciences
Journal:
Proceedings of the National Academy of Sciences of the United States of America More from this journal
Volume:
117
Issue:
46
Pages:
28582-28588
Publication date:
2020-11-02
Acceptance date:
2020-09-15
DOI:
EISSN:
1091-6490
ISSN:
0027-8424
Pmid:
33139549
Language:
English
Keywords:
Pubs id:
1140877
Local pid:
pubs:1140877
Deposit date:
2021-05-04

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