ArticleMammalian biology = Zeitschrift fur Saugetierkunde2022
Assessing social structure: a data-driven approach to define associations between individuals.
Article in Mammalian biology = Zeitschrift fur Saugetierkunde, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Temporal dynamics of mother-offspring relationships in Bigg's killer whales: opportunities for kin-directed help by post-reproductive females.Proceedings. Biological sciences · 2023Article
- How to define a dolphin "group"? Need for consistency and justification based on objective criteria.Ecology and evolution · 2022Article
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Authors and funding
3 authors.
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Abstract
Our interpretation of animal social structures is inherently dependent on our ability to define association criteria that are biologically meaningful. However, association thresholds are often based upon generalized preconceptions of a species' social behaviour, and the impact of using these arbitrary definitions has been largely overlooked. In this study we suggest a probability-based method for defining association thresholds using lagged identification rates on photographic records of identifiable individuals. This technique uses a simple model of emigration/immigration from photographable clusters to identify the time-dependent lag value between identifications of two individuals that corresponds to approximately 75% probability of being in close spatial proximity and likely associating. This lag value is then used as the threshold to define associations for social analyses. We applied the technique to a dataset of northern resident killer whales ( Supplementary Information: The online version contains supplementary material available at 10.1007/s42991-022-00231-9.
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Registered trials
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