This repository contains the analysis scripts and figures used in the paper:
The Individual- and Population-level Mechanistic Implications of Statistical Networks of Symptoms
The study explores the mechanisms driving depressive symptom dynamics using a computational model based on network theory. It links mechanistic symptom networks with empirical data and examines how resilience affects symptom interactions. The project provides insights into bistability, hysteresis, and the evolution of statistical networks under different resilience scenarios.
1. code/
libraries.R: Script to load required packages.main_simulation.R: Runs simulations for various resilience scenarios (baseline, high, low).robustness_check.R: Performs robustness checks (Appendix D).main_figures.R: Creates key figures.model_specification.R: Defines the mechanistic model, including parameters and differential equations.
2. figures/
- Stores generated plots for publication and analysis.
For questions, or feedback, please contact Kyuri Park.