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Jan 10, 2022 · One critical need is to extend methods for inferring dynamics at the individual and group scales. These methods need to account for measurement uncertainty, and guidelines are needed for determining the time-scale at which to assess hierarchy dynamics. Fortunately, these are already active areas of research [29,47,55,129].
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One critical need is to extend methods for inferring...
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continue refining methods for inferring hierarchy dynamics...
- Why Hens
A similar situation exists for rank: individuals that rank...
- Biological Sciences
Recent dominance studies may be moving to a new stage of...
- A Dynamic Model of Reproductive Skew
Finally, we show that stable groups are possible even if...
- A Comparison of Dominance Rank Metrics Reveals Multiple Competitive Landscapes in an Animal Society
(a) Assumptions of simple ordinal rank and proportional...
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Jan 21, 2019 · The modified methods infer r for each period informed by the previous periods, and new individuals are incorporated into the longitudinal hierarchy in a manner informed by prior knowledge of dominance correlates; thus, we name these modified methods Informed MatReorder, Informed Elo and Informed David's Scores (Table 1). Each modified method is introduced below.
- Eli D. Strauss, Kay E. Holekamp
- 27
- 2019
- 21 January 2019
23 methods and their unmodified counterparts. We show that choice of method has 24 dramatic impacts on inference of hierarchy dynamics via differences in estimates of ∆a. 25 Methods that calculate ranks de novo in each period overestimate hierarchy dynamics, 26 but incorporat ion of prior information leads to more accurately inferred ∆a. Of the
Jan 10, 2022 · Methodological challenges in inferring hierarchy dynamics. A few studies have made pr ogress towards improving the efficacy of ranking methods for identifying mobility , but consider- able work ...
Jan 10, 2022 · Here, we ask what we can learn from a dynamical view of dominance, and provide a research agenda for the next decades. We identify five broad questions at the individual, dyadic and group levels, exploring the causes and consequences of individual changes in rank, the dynamics underlying dyadic dominance relationships, and the origins and impacts of social instability.
Longitudinal hierarchies describe the hierarchy position (r) and dynamics (∆) associated with each individual as a property of its interaction data, the periods into which these data are divided based on a period delineation rule. (p) and the method chosen to infer the hierarchy. Hierarchy dynamics result from both active (∆a) and passive ...
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Why do we need a new method for inferring hierarchy dynamics?
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continue refining methods for inferring hierarchy dynamics at the individual level. (b) How do dominance trajectories across life produce fitness trajectories and impact selection on status-seeking behaviour? Dominance rank is often linked to fitness [8], but we know relatively little about the temporal dynamics of these effects.
