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Animal social network inference and permutations for ecologists in R using asnipe
Abstract
Summary: The sampling of animals for the purpose of measuring associations and interactions between individuals has led to the development of several statistical methods to deal with biases inherent in these data. However, these methods are typically computationally intensive and complex to implement. Here, I provide a software package that supports a range of these analyses in the R statistical computing environment. This package includes a novel approach to estimating re‐association rates of time between frequently sampled individuals. I include extended demonstration of the syntax and examples of the ability for this software to interface with existing network analysis packages in R. This bridges a gap in the tools that are available to biologists wishing to analyse animal social networks in R.
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Citations
Cited by
Applying network theory to animal movements to identify properties of landscape space use
Bastille‐Rousseau, G., Douglas‐Hamilton, I., Blake, S., Northrup, J. M., & Wittemyer, G. (2018) · Ecological Applications · doi:10.1002/eap.1697 · Cited by 51
Dorning, J., & Harris, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-56713-3 · Cited by 28
Metadata
- Authors
- Farine, D. R.
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2013-11-22
- Volume
- 4
- Issue
- 12
- Pages
- 1187-1194
- ISSN
- 2041-210X (ISSN-L)
- OpenAlex
- W2055555120
- Cited by
- 349
- References
- 0
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Animal social network inference and permutations for ecologists in R using asnipe. https://app.cochat.ai/papers/10.1111/2041-210x.12121
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- Farine, D. R. (2013). Animal social network inference and permutations for ecologists in R using asnipe. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.12121
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
