Workshop, Ecological Society of America, Annual Meeting, August 2015

Workshop Learning Objectives

Participants will be able to ...

  • Describe the features of a network model and explain the advantages and disadvantages of this model type
  • Characterize the aims of network science and explain why they are relevant for ecologists
  • Identify multiple examples of network ecology
  • Analyze bipartite models with R
  • Use enaR and EcoNet software to apply selected Ecosystem Network Analyss and interpret the output


~ 10 min Welcome & ObjectivesMatt K. Lau
50 min Introduction to Networks (notes) Stuart R. Borrett
30 min Model Construction (notes) Stuart J. Whipple
60 min Bipartite Network Analysis (with R) (notes) Matt K. Lau
50 min Introduction to Ecosystem Network Analysis with enaR (notes)

Datafile to download MDMAR02.xlsx
Stuart R. Borrett
50 min Ecosystem Network Analysis with EcoNet (notes) Caner Kaczanci
10 min

Wrap Up

Matt K. Lau

This workshops is scheduled for 5 hours.




Proloux et al. 2005. Network thinking in ecology and evolution. TREE

Fath and Patten 1999. Review of the Foundations of network environ analysis. Ecosystems

Ulanowicz, R.E. 2004. Quantitative methods for ecological network analysis. Computational Biology and Chemistry, 28:321-339.

Fath et al. 2007.  Ecological Network Analysis: Network Construction.  Ecol. Model.

Borrett and Lau. 2014. enaR: An R package for Ecosysetm Network Analysis.  Methods in Ecology and Evolution

Kazanci. 2007. EcoNet: A new software for ecological modeling, simulation and network analysis. Ecol. Model.



Barabasi 2012 Network Takeover. Science

Borrett et al. 2014. The rise of Network Ecology: Maps of the topic diversity and scientific collaboration. Ecol. Model.

Brandes et al 2013 What is Network Science? Network Science





enaR is available from CRAN



R Reference Card

enaR Wiki


EcoNet Website




Other useful software inlcudes Pajek, UCINET, NETWRK4, WAND.