Statistical analysis of network data

Summary

A first course in statistical network analysis and applications.

Content

Lire la suite

Keywords

• Basic description of a network and its generalizations (e.g. hypergraphs).
• Network examples from a practical point of view.
• Simple network summaries such as the degree distribution.
• Sparse and dense networks. Edge versus node models.
• Statistical implications of probabilistic properties of large networks.
• Erdos Renyi networks, simple models (configuration and stochastic block models).
• Sampling properties of network summaries.
• Fitting simple network models.
• Multilayer networks and directed networks
• Hypergraphs
• Exchangeability and probabilistic symmetries.
• Other topics as time permits.

Learning Prerequisites

Required courses

probability and statistics

Learning Outcomes

By the end of the course, the student must be able to:

• Recognize when a network model is appropriate
• Compute simple network summaries
• Assess / Evaluate parameters of basic network models from data
• Assess / Evaluate a range of network models and understand their propertie
• Assess / Evaluate the implications of model symmetries

Teaching methods

Ex cathedra lectures and exercises

Assessment methods

Final exam and assessed coursework that counts for 15%.

Dans le cas de l'art. 3 al. 5 du Règlement de section, l'enseignant décide de la forme de l'examen qu'il communique aux étudiants concernés.

 

Supervision

Office hours	No
Assistants	Yes
Forum	No

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

• R. Durrett: Random Graph Dynamics. Cambridge University Press 2007·
• E.D. Kolaczyk: Statistical Analysis of Network Data. Springer, 2009·
• Ibid Topics at the Frontier of Statistics and Network Analysis: (Re)Visiting The Foundations (SemStat Elements)·
• R. van der Hofstad. Random Graphs and Complex Networks Volume One, 2016 ·

• M. Newman: Networks: An Introduction, OUP 2010.
• Probabilistic Foundations of Statistical Network AnalysisH CraneChapman and Hall/CRC

 

Ressources en bibliothèque

• Statistical Analysis of Network Data / Kolaczyk
• Random Graph Dynamics / Durrett
• Probabilistic Foundations of Statistical Network Analysis / Crane
• Random Graphs and Complex Networks / van der Hofstad
• Networks / Newman
• Topics at the Frontier of Statistics and Network Analysis / Kolaczyk

Notes/Handbook

available on moodle

Moodle Link

• https://go.epfl.ch/MATH-448

Videos

• https://tube.switch.ch/channels/fc8e052d?order=newest