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Journal article

Assessment of model fit via network comparison methods based on subgraph counts

Abstract:

While the number of network comparison methods is increasing, benchmarking of these methods is still in its infancy. The lack of understanding of complex dependencies among network characteristics makes it difficult to fully understand the meaning of the different network comparison methodologies and the relations between them. In this article, we use a Monte Carlo framework as a way to address three general questions about the network comparison methods based on subgraph counts: (1) Can the ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1093/comnet/cny017

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0003-1388-2252
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Keble College
Role:
Author
More from this funder
Funding agency for:
Ospina-Forero, L
Grant:
568
More from this funder
Funding agency for:
Deane, C
Grant:
EP/NS10129/1
More from this funder
Funding agency for:
Reinert, G
Grant:
EP/NS10129/1
More from this funder
Funding agency for:
Deane, C
Grant:
EP/NS10129/1
More from this funder
Funding agency for:
Reinert, G
Grant:
EP/NS10129/1
Publisher:
Oxford University Press Publisher's website
Journal:
Journal of Complex Networks Journal website
Volume:
7
Issue:
2
Pages:
226–253
Publication date:
2018-08-20
Acceptance date:
2018-07-31
DOI:
EISSN:
2051-1329
ISSN:
2051-1310
Source identifiers:
865026
Keywords:
Pubs id:
pubs:865026
UUID:
uuid:bb82478f-1f91-4d26-819b-0fdcf53858eb
Local pid:
pubs:865026
Deposit date:
2018-07-06

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