Analysis of Complex Biological Systems
Lecture 1. Introduction
(Slides)
Introduction to Matlab (Slides)
Lecture 2. Complex systems as graphs
(Slides)
Lecture 3. Global network organisation: Random, small-world and scale-free networks
(Slides)
Lecture 4. Local network organisation: Clusters, motifs, Jaccard index, betweenness centrality
(Slides)
Lecture 5. Network changes over time: development and deconstruction
(Slides)
Lecture 6. Spreading in networks
(Slides)
Lecture 7. Dynamical Systems I
(Slides)
Lecture 8. Dynamical Systems II
(Slides)
Lecture 9. Dynamical Systems III
(Slides)
Lecture 10. Dynamical Systems IV
(Slides)
Lecture 11. Dynamical Systems V
(Slides)
Reading material
Kaiser M (2011). A Tutorial in Connectome Analysis: Topological and Spatial Features of Brain Networks. Neuroimage 57:892-907 [Article (PDF)]
Rainhard Diestel: Graph Theory, Springer, Third Edition [First chapter (PDF)]
More information about the book including the download of all chapters is availabel at http://diestel-graph-theory.com/