A course on networks

• Lecture 1. Network topology (small worldness, scale-freeness) (5MB)
• Lecture 2. Network topology (modules/communities, network skeleton, network hierarchy) (1.5 MByte)
• Lecture 2a. Network properties -- a practical approach (network definitions, hypergraphs, small world definitions, dangers of scale-free distributions) (0.6 MByte)
• Lecture 2b. Network structure -- a practical approach (NP-complete tasks, shortest paths, network skeleton, maximal flow, minimal cut, clustering, module detection methods) (1.0 MByte)
• Lecture 3. Network dynamics (noise, relaxation, self-organized criticality) (0.5 MByte)
• Lecture 4. Network dynamics (topological phase transitions) (0.6 MByte)
• Lecture 5. Examples for networks (proteins and cells) (1.6 MByte)
• Lecture 6. Examples for networks (psychological networks) (0.3 MByte)
• Lecture 7. Examples for networks (social networks, cultural nets, ecosystems) (0.9 MByte)
• Lecture 8. Synthesis (network equilibria, evolution and game theory) (0.5 MByte)

A course on inforatics tools in network science

• Seminar 1. File formats (more info)
• Seminar 2. Database handling (more info)
• Seminar 3. Metrics in network science (more info)
• Seminar 4. Biological databases (more info)
• Seminar 5. Graphs and diagramms (more info)
• Seminar 6. Modularsation of networks (more info)
• Seminar 7. Network drawing (more info)
• Seminar 8. Perturbation and information flow on networks (more info)
• Seminar 9. Robustness of networks (more info)
• Seminar 10. Network modells (more info)
• Seminar 11. Network hierarchy and fractals (more info)