This course will be taught using a combination of two days of live online (synchronous) sessions on Zoom, and afterward 3 days onsite.
Most biological systems can be defined by their particular elements and the connection among them. Network Analysis represents a powerful tool to study the structure of these systems. In recent years, we witnessed the emergence of the usage of network analysis in evolutionary ecology, allowing us to track the dynamics of the ecological structure of living and extinct communities.
In this course you will begin learning the foundations of network analysis, the different types of networks, how to code and plot them and measure their properties. During the sessions, we will deepen into sensitivity analysis and the combinations of networks with evolutionary and ecological data. At the end of the course, participants will be able to work in a range of approaches from basic Network Analysis and the combinations with biogeographic, phylogenetic or functional data to multilayer and higher-order Networks.
The course is directed to researchers in all fields of natural sciences, especially the ones directly related with ecology and evolution.
The course will start with a two days online introductory module to network analysis, optional for the participants, followed by a three days of live module in more advanced network analysis measures, multilayer and higher-order networks.
Basic knowledge of R language. You can check for the latest version here: https://www.r-project.org
Headphones with/or microphone, webcam and a good internet connection is strongly recommended for the online sessions. All the participants must bring their own laptops to live sessions.
We would like to encourage the participants to bring their own dataset to use it during the course.
Day 1: Online
- What is a network? [nodes and links] examples
- Network types [unipartite, multipartite, directed, weighted, higher order]
- How to code a network [edge list and adjacency matrix]
- Node properties [centrality measures]
- How to measure network node properties [uniparite: igraph, bipartite: bipartite]
- How to plot a network, basics.
Day 2: Online
- Network properties:
- Nestedness [Bipartite]
- Community detection [Modularity, flow based, stochastic block models]
- Null models
- How to measure and plot network properties [igraph, bipartite, Infomap]
Day 3: Onsite
- Network analysis in ecology and evolution
- Sensitivity analysis to network and node properties:
- Link uncertainties
- Community detection degeneracy
- Null models in practice
Day 4: Onsite
- Combining biogeography, traits, phylogenetic data… and network analysis.
- Higher order networks in practice [Community detection in Multilayer]
Day 5: Onsite
- Work in your own projects (or we facilitate some data)
- Present the results of your work and discussion
- Final remarks and overview
- Course Fee
- Early bird (until July 31st, 2022):
- 620 €
(496 € for Ambassador Institutions)
- Regular (after July 31st, 2022):
- 690 €
(552 € for Ambassador Institutions)
- This includes course material, coffee breaks and lunches (VAT included). After registration you will receive confirmation of your acceptance in the course. Payment is not required during registration.