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Journal article

Finding missing links in interaction networks

Abstract:

Documenting which species interact within ecological communities is challenging and labor intensive. As a result, many interactions remain unrecorded, potentially distorting our understanding of network structure and dynamics. We test the utility of four structural models and a new coverage‐deficit model for predicting missing links in both simulated and empirical bipartite networks. We find they can perform well, although the predictive power of structural models varies with the underlying n...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/ecy.3047

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
ORCID:
0000-0001-7935-6111
Publisher:
Ecological Society of America Publisher's website
Journal:
Ecology Journal website
Volume:
101
Issue:
7
Article number:
e03047
Publication date:
2020-05-04
Acceptance date:
2020-02-25
DOI:
EISSN:
1939-9170
ISSN:
0012-9658
Language:
English
Keywords:
Pubs id:
1088847
Local pid:
pubs:1088847
Deposit date:
2020-02-25

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