Welcome to PSYNETS 2024!

Psychological Network Analysis Workshop

January 29 – February 2, 2024

University of Amsterdam
Nieuwe Achtergracht129-B
1018 WS Amsterdam, The Netherlands
Nieuwe Achtergracht129-B
Email: psynetsummerschool@gmail.com

What is the PSYNETS workshop…?

The workshop consists of 8 lectures taught by leading experts in the field, a symposium with applied research, as well as guided practical sessions and exercises. It will cover the foundations of network analysis, discuss the most important techniques for cross-sectional and longitudinal data analysis, and introduce novel Bayesian approaches to network analysis.

… and what will I learn?

After completing this workshop, you will be able to

1) understand the theoretical foundations behind network modeling

2) infer network topology and estimate network parameters from different sources of data

3) analyze the network structure and its stability, and

4) reflect on research aims connected to network analysis.

This workshop is FOR YOU!

This year’s edition will focus on applied aspects of network analyses. Special attention will be paid to integrating the skills acquired in the course with substantive research questions. Basic R knowledge is required for this course. 

  • A (very) short introduction to R: http://bit.ly/1YzHlYt
  • Beginners guide to R: http://bit.ly/1HZlWie Practice:
  • Datacamp: https://www.datacamp.com/
  • Try R: http://tryr.codeschool.com/

N.B.: Please install the most recent versions of R and R-studio before arriving at the workshop.

Travel & Venue

Amsterdam is well-serviced by (international) trains and planes. There is a high-frequency train from the airport to Amsterdam Central Station, and the journey takes approximately 15 minutes.

The PSYNETS workshop is held at the Roeterseiland Campus of the University of Amsterdam, in the Psychology Department.

From Amsterdam Central Station, there is a subway to the PSYNETS venue: Take subway lines 51, 53, or 54 and get off at Weesperplein. From Weesperplein it is a 5-minute walk to the venue.

Venue address: Roeterseilandcampus – Building G.

Nieuwe Achtergracht 129-B, 1018WS, Amsterdam

Public transport:

Subway station Weesperplein (from Amsterdam Central train station);

Tram station Weesperplein, lines 7, 1 & 19 (for transport from and to, for example

Leidseplein and Museum quarter).

Materials & Schedule

 → Materials can be found in our shared dropbox file!

Day 1: Monday, January 29

Morning session: Introduction & Theoretical Foundations

Lecturer: Denny Borsboom


  • Network Psychometrics Chapter 1: Network Perspectives

Afternoon session: Causality, Conditional Dependence, and Pairwise Markov Random Fields

Lecturer: Lourens Waldorp


  • Network Psychometrics Chapter 5: Association and conditional independence
  • Network Psychometrics Chapter 6: Pairwise Markov random fields
  • Network Psychometrics Chapter 12: Causal inference

Followed by introduction drinks at Kriterion! (17:00)

Day 2: Tuesday, January 30

Morning session: Estimating Cross-sectional Networks and Model Selection

Lecturer: Tessa Blanken


  • Network Psychometrics Chapter 7: Estimating network structures using Model selection
  • Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., … & Waldorp, L. J. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1(1), 1-18.

Afternoon session: Network Stability, Comparison, and Replicability

Lecturer: Tessa Blanken


  • Network Psychometrics Chapter 8: Network Stability, Comparison, and Replicability

Day 3: Wednesday, January 31

Morning session: Network Estimation from Time Series Data

Lecturer: Ria Hoekstra


  • Network Psychometrics Chapter 9: Network estimation from time series and panel data
  • Network Psychometrics Chapter 10: Longitudinal Design Choices: Relating Data to Analysis

Additional reading recommendations:

  • Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian graphical model in cross-sectional and time-series data. Multivariate behavioral research, 53(4), 453-480.
  • Epskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas M. N., Isvoranu, A. M., Riese, H., & Cramer, A. O. (2018). Personalized network modeling in psychopathology: The importance of contemporaneous and temporal connections. Clinical Psychological Science, 6(3), 416-427.

Afternoon session: Symposium

Speaker: Myrthe Veenman
– The Parent in Adolescent Depression

Speaker: Inga Marie Freud
– The Role of Emotional Memory in Affective Well-being: Combining an Experimental
– Paradigm with Temporal Networks

Speaker: Lea Schumacher
– Using Network Analyses to Evaluate Treatments for Mental Disorders

Speaker: Gaby Lunansky
– Quantifying the Stability Landscapes of Psychological Networks

Day 4: Thursday, February 1

Morning session: Advanced Network Estimation

Lecturer: Jonas Haslbeck


  • Haslbeck J. M. B., Waldorp L. J. (2020). mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data. The Journal of Statistical Software[arXiv] [Link]
  • Haslbeck J. M. B., Borsboom D. & Waldorp L. J. (2019). Moderated Network Models. Multivariate Behavioral Research[PDF] [arXiv][Reproducibility Archive]
  • Haslbeck J. M. B., Bringmann L. F., & Waldorp, L. J. (2020). A Tutorial on Estimating Time-Varying Vector Autoregressive Models. Multivariate Behavioral Research[Link] [arXiv] [Reproducibility Archive]
  • Haslbeck J. M. B.*, Ryan O.*, Robinaugh D. J.*, Waldorp L. J., Borsboom D. (2021). Modeling Psychopathology: From Data Models to Formal Theories. Psychological Methods[PsyArXiv] [Link] [PDF] [Reproducibility Archive]

Afternoon session: Bayesian Analysis of Networks

Lecture: Maarten Marsman & Karoline Huth


  • Huth, K. B. S., de Ron, J., Goudriaan, A. E., Luigjes, J., Mohammadi, R., van Holst, R. J., Wagenmakers, E.-J., & Marsman, M. (2023). Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP. Advances in Methods and Practices in Psychological Science, 6(4), 1-18. https://doi.org/10.1177/25152459231193334
  • Huth, K. B. S., Keetelaar, S., Sekulovski, N., van den Bergh, D., & Marsman, M. (2023). Simplifying Bayesian Analysis of Graphical Models for the Social Sciences With easybgm: A User-Friendly R-Package. PsyArXiv: https://psyarxiv.com/8f72p
  • Sekulovski, N., Keetelaar, S., Wagenmakers, E.-J., van Bork, R., van den Bergh, D., & Marsman, M. (2023). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. PsyArXiv: https://psyarxiv.com/ch7a2

General introduction to Bayesian inference:

  • Wagenmakers, E.-J., Morey, R. D., & Lee, M. D. (2016). Bayesian Benefits for the Pragmatic Researcher. Current Directions in Psychological Science, 25(3), 169-176. https://doi.org/10.1177/0963721416643289

Higher-level papers on Bayesian graphical modeling:

  • Marman, M., Huth, K., Waldopr, L. J. & Ntzoufras, I. (2022). Objective Baysian Edge Screening and Structure Selection for Ising Networks. Psychometrika, 87 (1), 47-82.
  • Mohammadi, A., & Wit, E.C. (2015). Bayesian structure learning in sparse Gaussian graphical models. Bayesian Analysis, 10(1), 109-138.

Dinner at De Ysbreeker!

There will be a dinner at De Ysbreeker at 18:00. De Ysbreeker is located along the Amstel and is one of the ~9,000 monumental buildings Amsterdam counts. Fun fact: The restaurant is named after the icebreakers (hence: “Ysbreker”) that were docked in front of the building from 1702 till 1860. The ships would clear a path through the ice covering the Amstel River towards the city of Vecht during the cold winter months. During those years the location served as a tavern for shipmates and locals of the neighborhood.

Day 5: Friday, February 2

Morning session: Q&A

During this morning session, you can work on your own data with lecturers and members from our lab aiding you in the analyses. It is also the perfect opportunity to ask any questions about the materials you might still have.

Afternoon session: Reflections on the Network Approach

Lecturer: Eiko Fried


  • Fried, E. I., & Cramer, A. O. (2017). Moving forward: Challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science, 12(6), 999-1020.
  • Bringmann, L. F., Albers, C., Bockting, C., Borsboom, D., Ceulemans, E., Cramer, A., … & Wichers, M. (2022). Psychopathological networks: Theory, methods and practice. Behaviour Research and Therapy, 149, 104011.

Additional reading recommendations:

  • Fried, E. I. (2020). Lack of theory building and testing impedes progress in the factor and network literature. Psychological Inquiry, 31(4), 271-288.

We hope you had a pleasant and fun experience at our PSYNETS workshop!