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Constructing, conducting and interpreting animal social network analysis.

Damien R Farine1,2,3, Hal Whitehead4

  • 1Department of Zoology, Edward Grey Institute of Field Ornithology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK.

The Journal of Animal Ecology
|July 15, 2015
PubMed
Summary

This guide offers a practical framework for analyzing animal social networks. It details methods for data collection, network inference, and hypothesis testing, crucial for biological research.

Keywords:
fission-fusion dynamicsgroup livingmethodssocial behavioursocial dynamicssocial network analysissocial organisation

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Area of Science:

  • Ecology and Evolutionary Biology
  • Behavioral Ecology
  • Quantitative Biology

Background:

  • Animal social networks are key to understanding sociality and have broad biological implications.
  • Network analysis offers a robust framework for hypothesis testing and quantitative description of social systems.
  • Careful consideration of assumptions, real vs. observed networks, and data biases is essential for accurate social network analysis.

Purpose of the Study:

  • To provide a practical guide for analyzing animal social systems using network analysis.
  • To outline key considerations for data collection, network inference, and hypothesis testing.
  • To equip researchers with methods for quantifying network properties and assessing network accuracy.

Main Methods:

  • Defining nodes and edges, and designing data collection strategies.
  • Inferring and displaying social networks from collected data.
  • Quantifying network properties and testing hypotheses related to network structure and processes.

Main Results:

  • The guide provides a comprehensive overview of social network analysis techniques for animal behavior.
  • It includes practical advice on data handling, bias control, and statistical analysis.
  • Appendices offer programming routines and worked examples using the R programming language.

Conclusions:

  • Social network analysis is a powerful tool for understanding animal social systems.
  • Future directions include addressing current challenges and exploring experimental manipulations.
  • The under-exploited potential of experimental manipulations in social network analysis is highlighted.