Journal article
Association indices for quantifying social relationships: how to deal with missing observations of individuals or groups
- Abstract:
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Social network analysis has provided important insight into many population processes in wild animals. Constructing social networks requires quantifying the relationship between each pair of individuals in the population. Researchers often use association indices to convert observations into a measure of propensity for individuals to be seen together. At its simplest, this measure is just the probability of observing both individuals together given that one has been seen (the simple ratio ind...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 547.6KB)
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- Publisher copy:
- 10.1016/j.anbehav.2017.08.029
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Authors
Funding
+ Max Planck Society
More from this funder
Funding agency for:
Farine, D
Grant:
BB/L006081/1 to B.C. Sheldon
+ Biotechnology and Biological Sciences Research Council
More from this funder
Funding agency for:
Farine, D
Grant:
BB/L006081/1 to B.C. Sheldon
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Animal Behaviour Journal website
- Volume:
- 136
- Pages:
- 227-238
- Publication date:
- 2017-10-04
- Acceptance date:
- 2017-07-24
- DOI:
- ISSN:
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0003-3472
- Source identifiers:
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730325
Item Description
- Keywords:
- Pubs id:
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pubs:730325
- UUID:
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uuid:9d1e6220-289c-44ef-accc-36c31321c01b
- Local pid:
- pubs:730325
- Deposit date:
- 2017-09-23
Terms of use
- Copyright holder:
- Hoppitt and Farine
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.anbehav.2017.08.029
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