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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
Version:
Accepted Manuscript

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Publisher copy:
10.1093/comnet/cny017

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Kellog 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
More from this funder
Funding agency for:
Reinert, G
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
Pubs id:
pubs:865026
URN:
uri:bb82478f-1f91-4d26-819b-0fdcf53858eb
UUID:
uuid:bb82478f-1f91-4d26-819b-0fdcf53858eb
Local pid:
pubs:865026

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