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Dual Elo rating: Modelling gradual and sudden shifts in animal dominance hierarchies

delete2026-08-08
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OA
AI
N
Nusret Ipek *
B
Bernard De Baets
F
Frank A.M. Tuyttens
J
Jan Verwaeren
DOI:10.1016/j.ecoinf.2026.103974delete
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Abstract

Abstract

En 中文
• Dual Elo introduces adaptive, time-dependent update parameters that substantially enhance the responsiveness of dominance hierarchy rankings to both gradual and sudden changes in animal dominance structure. • By distinguishing between low- and high-impact interactions through separate parameters, Dual Elo offers a simple but effective extension of the Optimized Elo method, improving both the accuracy and localization of hierarchy shifts. • A computationally efficient, maximum-likelihood-based estimation procedure enables Dual Elo to robustly model observed interaction sequences, demonstrating consistent performance across both simulated and real-world noisy datasets. • Beyond improving ranking stability and interpretability, Dual Elo facilitates the identification of precise time points of hierarchy change, providing a valuable tool for research in behavioural ecology and social dynamics.
Keywords:
Elo rating
Animal behaviour
Dominance hierarchy
Agonistic interaction
Maximum-likelihood estimation
Hierarchy changes
Social dynamics

Journal

Ecological Informatics cover
Ecological Informatics
IF:
7.3
Papers:
3.7K
Citations:
1.3W

Organization

G
ghent university
Scholars:
3.8K
Papers: 1.5K
Citations: 0
I
ILVO
Scholars:
11
Papers: 7
Citations: 0
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