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Animal Social Networks$
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Jens Krause, Richard James, Daniel W. Franks, and Darren P. Croft

Print publication date: 2015

Print ISBN-13: 9780199679041

Published to Oxford Scholarship Online: January 2015

DOI: 10.1093/acprof:oso/9780199679041.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 04 March 2021

Temporal changes in dominance networks and other behaviour sequences

Temporal changes in dominance networks and other behaviour sequences

(p.61) Chapter 7 Temporal changes in dominance networks and other behaviour sequences
Animal Social Networks

David B. McDonald

Michael E. Dillon

Oxford University Press

Dominance interactions can be viewed as social networks with directed edges. Only one of the current leading algorithms for ranking individuals (Elo rating) is sensitive to the order in which contests occur; it rewards wins occurring later than losses. The I&SI method of de Vries (1998), while insensitive to contest order, provides a useful alternative in certain contexts. Sequential analysis of the contest matrix (a raw matrix of win–loss contests) can reveal aspects of how quickly relations stabilize temporal changes in win–loss ratios, and the changing roles of individuals. Sequential analysis of the 1/0 outcome matrix (dominant–subordinate relations) can be combined with multiple ranking algorithms and node-based metrics (e.g. hub and authority scores) to provide visually and quantitatively informative assessments of the changing network roles of individuals in the hierarchy.

Keywords:   dominance, order, ranking algorithms, node-based metrics, contest matrix, outcome matrix

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