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      • (a) Dominance hierarchies are inferred from observed agonistic interactions, depicted as a network sampled over four time periods (t1–t4; individual identity indicated for two individuals by colour). Arrows point from winners to losers, and the bidirectional arrow indicates cases where two individuals are each observed defeating the other.
      royalsocietypublishing.org/doi/10.1098/rstb.2020.0445
  1. Jan 10, 2022 · Figure 1. (a) Dominance hierarchies are inferred from observed agonistic interactions, depicted as a network sampled over four time periods (t1–t4; individual identity indicated for two individuals by colour).

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      Figure 1. (a) Dominance hierarchies are inferred from...

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      hierarchies’. 1. Introduction Dominance is one of the most...

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      Moreover, interactions can be sufficiently described without...

  2. Here, we aim to facilitate comparative studies of the structure and function of dominance hierarchies by compiling published dominance interaction datasets from the last 100 years of work.

  3. Jan 10, 2022 · (a) Dominance hierarchies are inferred from observed agonistic interactions, depicted as a network sampled over four time periods (t1-t4; individual identity indicated for two individuals by...

  4. Oct 30, 2017 · Diagram highlighting the different steps required to infer dominance hierarchies. First, the outcome of dyadic agonistic interactions between individuals are recorded either in the form of a matrix or as a temporal sequence of winners and losers.

    • Alfredo Sánchez-Tójar, Alfredo Sánchez-Tójar, Julia Schroeder, Julia Schroeder, Damien Roger Farine,...
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    • 2018
    • 30 October 2017
  5. Jan 10, 2022 · The dominance hierarchy is the group-level social structure that emerges from the network of dominance relationships, and various ranking methods have been developed to infer individual position in the dominance hierarchy based on the outcomes of observed agonistic interactions [194 – 196].

  6. Jan 21, 2019 · This inequality often manifests as a dominance hierarchy, in which repeated agonistic interactions between group members lead to the emergence of a linear order of individuals from high to low rank (de Vries, 1998), with rank position often determining priority of access to resources.

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  8. In this study, we simulated interactions (winners and. 30 losers) in scenarios of varying steepness (the probability that a dominant defeats a. 31 subordinate based on their difference in rank). Using these data, we (1) quantify how. 32 the number of interactions recorded and hierarchy steepness affect the performance.