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Journal article

Estimating the robustness and uncertainty of animal social networks using different observational methods

Abstract:

Social network analysis is quickly becoming an established framework to study the structure of animal social systems. To explore the social network of a population, observers must capture data on the interactions or associations between individuals. Sampling decisions significantly impact the outcome of data collection, notably the amount of data available from which to construct social networks. However, little is known about how different sampling methods, and more generally the extent of s...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1016/j.anbehav.2018.04.012

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Zoology
Role:
Author
National Science Foundation More from this funder
Max Planck Institute for Ornithology More from this funder
Smithsonian Tropical Research Institute More from this funder
Princeton University More from this funder
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Publisher:
Elsevier Publisher's website
Journal:
Animal Behaviour Journal website
Volume:
141
Pages:
29–44
Publication date:
2018-06-01
Acceptance date:
2018-03-19
DOI:
ISSN:
0003-3472
Pubs id:
pubs:853394
URN:
uri:9d963a3c-7df5-40bb-a099-e87cfd817d87
UUID:
uuid:9d963a3c-7df5-40bb-a099-e87cfd817d87
Local pid:
pubs:853394

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