- Complex Biological Systems: Modelling Relations: Historical and conceptual introduction. Basic concepts and representations.
- Hands on Computers: Introduction to R: Presentation of the R environment and language. Basic operations in R (useful for network modelling). Packages installation.
- Hands on Computers: Introduction to igraph and Network Modelling: Presentation of the package igraph. Modelling deterministic networks. Manipulating network attributes. Modelling networks from loaded data.
- Complex Biological Systems: Applied Network Theory: Nodes, links and types of networks. Basic network parameters. Network architecture and null network models.
- Work Example: Analysing parameters and architecture in tetrapod skull networks.
- Hands on Computers: Analysing Networks: Quantifying basic network parameters. Identifying network architecture.
- Work Example: Null network models of skull development to study evolution.
- Hands on Computers: Modelling Network Null Models: Regular and random models. Small-world and scale-free models. Geometric models.
- Complex Biological Systems: Network Properties: Robustness and the concept of secondary extinction. Modularity.
- Work Example: Modularity in skull networks.
- Hands on Computers: Identifying Modules: Optimization methods. Heuristic methods. Quantifying the strength of modularity.
- Participants Project Preparation. Bringing your own data is not required for this part, but you are welcome to do so if you have it.