Made it to @saa2025leuven.bsky.social (after 6 hours train from Groningen 🤣)
Too late for the registration today but I'm certainly at the right place! See you tomorrow : )

But we do see some interesting patterns in empirical datasets, that may warrant further investigations. For example, for this participant, the relationship from satisfaction to happiness seems to have a quadratic shape: it's stronger when satisfaction is high enough.

That means the network may change according to the variable values -- exactly the same as what you have for moderation analysis. Below is an example from a simulated model, where x1 and x2 represent positive affects and x3 and x4 are negative ones.

(another plot here)

Following this, we also developed methods to calculate the potential landscape from empirical data and for Ising networks, so that we can better understand the multistability of mental systems😋 psycnet.apa.org/doi/10.1037/...
osf.io/nd8zc

In this work, we developed a method to draw the potential landscape from a formal dynamic model of panic disorder: www.tandfonline.com/doi/full/10....

Bluesky now has over 10 million users, and I was #1,578,292!

↓ The time series of the empirical datasets and their corresponding vector fields and potential landscapes.