socialh

socialh analyzes social hierarchy among gregarious animals in R by extracting and quantifying agonistic replacement events recorded by electronic bins at feeders or drinkers.


Key Features:

  • Data Integration: Integrates electronic bin records that track animal displacements at feeders and drinkers for downstream analysis.
  • Replacement-event extraction: Identifies and compiles agonistic replacement events indicative of competitive interactions between individuals.
  • Sequential/modular workflow: Implements a structured workflow of multiple steps that can be executed sequentially or independently for flexible analysis.
  • Hierarchy quantification: Synthesizes replacement-event data to compute metrics that characterize social hierarchy and dominance relationships.

Scientific Applications:

  • Livestock social structure analysis: Elucidates social dynamics within gregarious livestock populations such as cattle by analyzing agonistic interactions.
  • Resource-access studies: Assesses how replacement events and dominance relationships influence access to feeders, drinkers, and other environmental resources.
  • Animal welfare and management research: Provides quantitative evidence on competitive behavior to inform welfare assessments and farm management practices.

Methodology:

Synthesizes electronic-bin records of agonistic interactions with a focus on replacement events to quantify and interpret social hierarchy within groups.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
10/5/2022
Last Updated:
11/24/2024

Operations

Publications

Valente JdPS, Deniz M, de Sousa KT, Mercadante MEZ, Dias LT. socialh: An R package for determining the social hierarchy of animals using data from individual electronic bins. PLOS ONE. 2022;17(8):e0271337. doi:10.1371/journal.pone.0271337. PMID:35921355. PMCID:PMC9348686.

PMID: 35921355
PMCID: PMC9348686
Funding: - Fundação de Amparo à Pesquisa do Estado de São Paulo: #2017/10630-2, #2017/50339-5

Documentation