Assessing dominance hierarchies: validation and advantages of progressive evaluation with Elo-rating
By Christof Neumann, J. Duboscq, C. Dubuc, A. Ginting, A. Irwan, M. Agil, A. Widdig, A. Engelhardt. 2011
443 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Management Science and Operations Research, Safety Research
View Paper: https://www.semanticscholar.org/paper/0d6b0905f684169ab24c99a730554ad1b244c407
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- Won Lee
- James P. Curley
- Cait M. Williamson
- S. Henzi
- D. McDonald
- L. Barrett
- D. Shizuka
- Richard McFarland
In Management Science and Operations Research
In Safety Research
Citations in the corpus
- Comparative transitive and temporal orderliness in dominance networks (2013, methodology): “The trajectories of rank orderings (Figure 4), evaluated by Elo rating (Neumann et al. 2011), varied across the 40 datasets, with a mean stability index of 0.81 (SD = 0.13, range 0.54–0.98; Appendix 2).”
- Formidable females and the power trajectories of socially integrated male vervet monkeys (2017, methodology): “The number of points that can be won or lost is determined by the k value, which we set to the recommended level of 100 (Neumann et al., 2011).”
- Temporal dynamics of social hierarchy formation and maintenance in male mice (2016, methodology): “Glicko ratings are an extension of the Elo dynamic paired comparison models (Neumann et al., 2011), whereby a cardinal dominance score for each individual is derived based on the temporal sequence of wins and losses.”
- A framework for studying social complexity (2019, methodology): “work analyses and other methods provide modern quantitative measures of different dimensions of social structure, including their temporal dynamics (Krause et al. 2007; Neumann et al. 2011; Farine 2018) and the relative importance of direct and indirect social relationships (Brent 2015).”
- The direct drivers of recent global anthropogenic biodiversity loss (2022, unknown): “From the resulting matrices, we calculated each driver’s dominance as its normalized David’s score ( 20 ), using the DS function in the EloRating R package ( 69 , 70 ).”