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Coursebook for “Complessita’ nei Sistemi Sociali”

Introduction

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

Network analysis

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

Dynamical processes

9. Random walks
10. Synchronization

Hypergraphs

11. Getting started with XGI
12. Case study: sync

Temporal graphs

13. Temporal networks
14. Source code

Epidemics on networks

15. Epidemics on networks
16. Source code

Graph Fourier transform

17. Graph Fourier transform
18. Source code

Community Detection

19. Community detection
20. Source code

Node2Vec

21. Node2Vec

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By M. Lucas, L. Dall'Amico

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