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Jonathan J. Park

@jonathanpark.bsky.social
888 followers 168 following 42 posts

Assistant Professor @UCDavis in Quant Psych Discrete-/Continuous-Time Dynamic Networks and Community Detection www.JonathanPark.dev

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Jonathan J. Park @jonathanpark.bsky.social · 25/09/2026
New preprint! People with different underlying processes may appear similar simply because of when we measure them; which we refer to as “illusory homogeneity” We introduce cts-gimme to identify group-, subgroup-, and person-specific dynamics in continuous-time: osf.io/preprints/ps...
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Jonathan J. Park @jonathanpark.bsky.social · 18/09/2026
New preprint! Psychometric networks are often summarized with centrality indices that are sometimes useful and other times not. We show that the "most central" node's influence depends heavily on the configuration of edges in the network; its degree distribution. osf.io/preprints/ps...
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Jonathan J. Park @jonathanpark.bsky.social · 30/08/2026
In our cts-gimme work, we highlight an issue with discrete-time models. Namely, observed effects are dependent on sampling rate. Then, if you cluster on those effects, your clusters may be artifacts of sampling rate rather than truth. We dub this, "illusory homogeneity".
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Jonathan J. Park @jonathanpark.bsky.social · 29/08/2026
The GIMME framework is a method for analyzing heterogeneous time-series while identifying common dynamic patterns within samples. Happy to announce that we’ve extended it to the continuous-time framework in our new R-package, ctgimme! cran.r-project.org/web/packages...
cran.r-project.org
ctgimme: Continuous-Time Subgrouping with GIMME
Estimates group-, subgroup-, and individual-level dynamic structures from multivariate intensive longitudinal data using continuous-time state-space models. The subgrouping procedure combines iterativ...
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Jonathan J. Park @jonathanpark.bsky.social · 23/12/2025
A holiday gift from @suryadyutibaral.bsky.social for modeling longitudinal data in a non-parametric framework using continuous-time functional data analysis.
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Jonathan J. Park @jonathanpark.bsky.social · 03/10/2025
Wanted to announce that I will be recruiting graduate students this year in Quantitative Psychology here at UC Davis. If you are or know of any undergrads who are interested in dynamical systems and network analytic methods, please send them my way or get in touch!
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Jonathan J. Park @jonathanpark.bsky.social · 16/12/2024
My first paper as an Assistant Professor at UC Davis is out in the journal SEM! In the paper, we introduce a continuous-time extension to the GIMME model implemented in OpenMx. It uses iterative tests of modification indices to construct group- and person-specific dynamic networks!
tandfonline.com
Unsupervised Model Construction in Continuous-Time
Many of the advancements reconciling individual- and group-level results have occurred in the context of a discrete-time modeling framework. Discrete-time models are intuitive and offer relatively ...
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Reposted by Jonathan J. Park
Jessica D Ayers @jessicadayers.bsky.social · 26/11/2024
Where did all the premies go during COVID👶? In this preprint, we (me, @jonathanpark.bsky.social, & M. Cardwell) discuss how lockdown measures may have (unintentionally) changed the way that genetic conflict 🧬manifested & the frequency of some pregnancy 🤰complications osf.io/preprints/ps...
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Jonathan J. Park @jonathanpark.bsky.social · 15/11/2024
Nvm RE: my earlier thread. It’s here! 🙌
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Jonathan J. Park @jonathanpark.bsky.social · 15/11/2024
Have to ask while Starter Pack Mania is at its apex: Have we made a Quant Psych starter pack? If we have, I’d love to be added but if not perhaps we can get one going.
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Jonathan J. Park @jonathanpark.bsky.social · 25/10/2024
Lots of new followers today thanks to @omidvebrahimi.bsky.social! Hello everyone! I'm an Assistant Professor at @ucdavispsych.bsky.social. I'm a quantitative psychologist studying dynamic network models in discrete- and continuous-time and how we can find commonalities in person-specific dynamics.
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Reposted by Jonathan J. Park
Christopher Crawford @cmcrawford.bsky.social · 24/09/2024
We have a new preprint! I'm excited to share recent work related to modeling multiple-subject, multivariate time series. We extend the multi-VAR framework to allow for data-driven identification and penalized estimation of subgroup-specific dynamics. arxiv.org/abs/2409.03085
arxiv.org
Penalized Subgrouping of Heterogeneous Time Series
Interest in the study and analysis of dynamic processes in the social, behavioral, and health sciences has burgeoned in recent years due to the increased availability of intensive longitudinal...
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Jonathan J. Park @jonathanpark.bsky.social · 06/09/2024
Hi folks! Sharing a pre-print that we just submitted from my dissertation work. We adapted and extended the GIMME framework for identifying group-level structure in person-specific dynamics to the continuous-time framework via modification indices osf.io/preprints/ps...
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Jonathan J. Park @jonathanpark.bsky.social · 22/05/2024
Successfully defended my dissertation. I’m a doctor now! Got knighted by my advisors, Sy-Miin Chow and Peter Molenaar with an engraved sword gifted to my by Alexis Santos. Lots of folks to thank but never enough space in these character limits.
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Jonathan J. Park @jonathanpark.bsky.social · 14/02/2024
Lots of exciting news in the coming months. Stay tuned! First up, our new paper just came out with Sy-Miin Chow, @sachaepskamp.bsky.social, and Peter Molenaar for fitting N = 1 graphical VAR models and using cluster-based methods to identify subgroups of people who share similar dynamic patterns.
tandfonline.com
Subgrouping with Chain Graphical VAR Models
Recent years have seen the emergence of an “idio-thetic” class of methods to bridge the gap between nomothetic and idiographic inference. These methods describe nomothetic trends in idiographic pro...
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