### Lectures

- 6-Sep: Introduction to networks [slides]
- 13-Sep: Degree distribution analysis [slides]
- 20-Sep: Introduction to network metrics [slides]
- 27-Sep: Significance of network metrics [slides]
- 11-Oct: Centrality in networks [slides]
- 18-Oct: Community detection [slides]

Extra material for this lecture:

A. Arratia and M. Renedo-Mirambell (2021). Clustering assessment in weighted networks. PeerJ Computer Science.

clustAnalytics: An R Package for Assessing Stability and Significance of Communities in Networks. Martí Renedo-Mirambell and Argimiro Arratia (2022)

R package: clustAnalytics: Cluster Evaluation on Graphs

- 25-Oct: Introduction to network dynamics [slides]
- 8-Nov: Network dynamics: some more advanced models [slides]
- 15-Nov: Epidemic models over networks [slides]

This lecture is based partly on Ch. 17 of Newman and the following papers, which you are encourage to read:

[Chakrabarti, D. et al (2008).]

[Pastor-Satorras and Vespignani (2001).]

Complementary reading:

The Tipping Point, by Malcom Gladwell

[Epidemic processes in complex networks

[Cohen et al. Efficient Immunization Strategies for Computer Networks and Populations (2003)]

[Kitsak et al. Identification of influential spreaders in complex networks (2010)]

- 29-Nov: Sampling in networks [slides]

This lecture is mostly based in the following three papers, which you are encouraged to read:

[Leskovec, J. and Faloutsos, C. (2006).]

[Clauset and Moore (2005).]

[Maiya and Berger-Wolf (2011).]

© 2022 Marta Arias, Ramon Ferrer-i-Cancho, Argimiro Arratia | Template design by Andreas Viklund