- Abstract:
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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 ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 1.3MB)
-
- Publisher copy:
- 10.1093/comnet/cny017
-
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- Funding agency for:
- Deane, C
- 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:
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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
- Keywords:
- Copyright holder:
- Ospina-Forero et al.
- Copyright date:
- 2018
- Notes:
- © The authors 2018. Published by Oxford University Press. All rights reserved. This is the accepted manuscript version of the article. The final version is available online from OUP at: https://doi.org/10.1093/comnet/cny017
Journal article
Assessment of model fit via network comparison methods based on subgraph counts
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+ Engineering and Physical Sciences Research Council
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+ Engineering and Physical Sciences Research Council
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