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Coursebook for “Complessita’ nei Sistemi Sociali”

Introduction

1. Python is easy :)
2. Basic network import and representation

Network analysis

3. How to fit a power law distribution
4. Basics of network analysis
5. Erdos-Renyi random networks
6. Network assortativity
7. Network robustness

Dynamical processes

8. Random walks
9. Epidemic modeling, deterministic and stochastic models
10. Epidemics on networks
11. Synchronization

Social contagion

12. Axelrod model
13. Higher-order Naming Game
14. Simplagion Model

Temporal Networks

15. Epidemics on temporal networks
16. Temporal networks libraries
17. Inferring biological phases by clustering snapshots

Community detection

18. Community detection
19. Comparing Partitions

Hypergraphs

20. Getting started with XGI
21. Case study: sync

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By G. Petri, M. Lucas

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