activity
20162026
most citedThe Gaussian Graphical Model in Cross-sectional and Time-series Data

1.2k citations · 2.8k across the 11 of their papers we have counts for

collaborators

14 papers

physics.soc-ph2026

Rethinking Group Differences in Psychopathology Networks: A Slow-Fast Perspective on Context and Symptom Activation

Kyuri Park, Denny Borsboom, Mike Lees +6

Groups differing in social and economic circumstances often differ markedly in depressive symptom levels, yet their estimated symptom networks show few clear differences. Such null…

physics.soc-ph2026

Slow Context, Fast Symptoms: Multiscale Temporal Dynamics and Context-Induced Coupling in Psychological Systems

Kyuri Park, Denny Borsboom, Mike H. Lees +3

Psychological dynamics unfold across multiple timescales: symptoms and other psychological states can change rapidly, whereas social, environmental, biological, and developmental c…

cs.AI2026

Causal Behavioral Evaluation of AI Agents at Scale via Automated Behavioral Science

Soo Yong Lee, Jongha Lee, Jaewan Chun +8

As AI agents are increasingly deployed in complex and new environments, knowing the conditions that influence their behavior becomes an indispensable step for their reliable and sa…

q-bio.NC2025

Emergence of psychopathological computations in large language models

Soo Yong Lee, Hyunjin Hwang, Taekwan Kim +5

Can large language models (LLMs) instantiate computations of psychopathology? In this work, we establish a computational-theoretical framework to provide an account of psychopathol…

physics.soc-ph2021★ 9 cited

Quantifying agent impacts on contact sequences in social interactions

Mark M. Dekker, Tessa F. Blanken, Fabian Dablander +3

Human social behavior plays a crucial role in how pathogens like SARS-CoV-2 or fake news spread in a population. Social interactions determine the contact network among individuals…

stat.ME2020

Measurement error and reliability from a different perspective: Reliability of decision functions and the sum score

Lourens Waldorp, Maarten Marsman, Denny Borsboom

We propose an alternative framework for measurement error that allows us to determine reliability at the level of the decision, such as the decision to pass or fail. This framework…

stat.ME2018

Moderated Network Models

Jonas Haslbeck, Denny Borsboom, Lourens Waldorp

Pairwise network models such as the Gaussian Graphical Model (GGM) are a powerful and intuitive way to analyze dependencies in multivariate data. A key assumption of the GGM is tha…

cs.SI2017

A Network Perspective on Attitude Strength: Testing the Connectivity Hypothesis

Jonas Dalege, Denny Borsboom, Frenk van Harreveld +1

Attitude strength is a key characteristic of attitudes. Strong attitudes are durable and impactful, while weak attitudes are fluctuating and inconsequential. Recently, the Causal A…

cs.SI2017★ 90 cited

Network Structure Explains the Impact of Attitudes on Voting Decisions

Jonas Dalege, Denny Borsboom, Frenk van Harreveld +2

Attitudes can have a profound impact on socially relevant behaviours, such as voting. However, this effect is not uniform across situations or individuals, and it is at present dif…

stat.ME2016★ 1.2k cited

The Gaussian Graphical Model in Cross-sectional and Time-series Data

Sacha Epskamp, Lourens J. Waldorp, René Mõttus +1

We discuss the Gaussian graphical model (GGM; an undirected network of partial correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM shows…

stat.ME2016★ 195 cited

Network Psychometrics

Sacha Epskamp, Gunter K. J. Maris, Lourens J. Waldorp +1

This chapter provides a general introduction of network modeling in psychometrics. The chapter starts with an introduction to the statistical model formulation of pairwise Markov r…

physics.med-ph2016★ 589 cited

Major depression as a complex dynamic system

Angélique O. J. Cramer, Claudia D. van Borkulo, Erik J. Giltay +4

In this paper, we characterize major depression (MD) as a complex dynamical system in which symptoms (e.g., insomnia and fatigue) are directly connected to one another in a network…

math.ST2016★ 475 cited

Generalized Network Psychometrics: Combining Network and Latent Variable Models

Sacha Epskamp, Mijke Rhemtulla, Denny Borsboom

We introduce the network model as a formal psychometric model, conceptualizing the covariance between psychometric indicators as resulting from pairwise interactions between observ…

stat.AP2016★ 196 cited

Estimating Psychological Networks and their Accuracy: A Tutorial Paper

Sacha Epskamp, Denny Borsboom, Eiko I. Fried

The usage of psychological networks that conceptualize psychological behavior as a complex interplay of psychological and other components has gained increasing popularity in vario…