2 credits
15.0 h
Q2
Teacher(s)
Heeren Alexandre;
Language
English
Content
Graph theory and network analysis have recently started to infiltrate psychology and neuroscience, especially in research programs dealing with huge data sets and connectivity issues.
Accordingly, this course will provide a general overview of graph theory and network analysis. Illustrations on real data sets will be provided throughout the workshop. Given the diversity of the audience, examples will be ranging from the study of social networks to brain networks and symptoms connectivity.
Course participants will:
- become familiar with general notions of graph theory and network analysis
- learn how to model network data using R, to implement algorithms from the field of graph theory (e.g., community detection, smallwordness), and to use tools from data science (e.g., graphical Lasso) to optimize network estimation and visualization
- understand the advantages, challenges, and limitations of network analysis in comparison to other analytical approaches
- and become able to critically assess papers dealing with network analysis and graph theory in the field of psychology and neuroscience.
Accordingly, this course will provide a general overview of graph theory and network analysis. Illustrations on real data sets will be provided throughout the workshop. Given the diversity of the audience, examples will be ranging from the study of social networks to brain networks and symptoms connectivity.
Course participants will:
- become familiar with general notions of graph theory and network analysis
- learn how to model network data using R, to implement algorithms from the field of graph theory (e.g., community detection, smallwordness), and to use tools from data science (e.g., graphical Lasso) to optimize network estimation and visualization
- understand the advantages, challenges, and limitations of network analysis in comparison to other analytical approaches
- and become able to critically assess papers dealing with network analysis and graph theory in the field of psychology and neuroscience.
Teaching methods
Workshop
Evaluation methods
Oral presentations + assessment via exercices on real data.
Online resources
Handouts as well as examples of programming codes will be made available via Moodle.
Bibliography
A list of reading articles will be provided at the end of each session.
Faculty or entity
EPSY
