Interactive Participation Dynamics Simulator

Diffusion Model Analyst and Pathfinder

An agent-based diffusion model (ABM) of how a collective grows, plateaus, or collapses across time and how a well-timed plan can explosively growth it or rescue it. Each core node is a simulated agent in our network; hover over to see individual data.
Network state · week 1
Turnout
0
Mean motivation
0.00
Active agents
0
Motivational reach
0%
motivation
0 → 1
arc = commitment
active modeled member inactive / left member illustrative reach (not modeled) prospective core agent
Turnout is the sum of capacity-adjusted attendance contributions, not a count of agents whose raw propensity exceeds 50%.
wk 1 / 18
Trajectories are illustrative qualitative regimes: headcounts are on the model's own scale, and the aim is to show which behaviors the network structure produces and how interventions move between them.
Based on State-Dependent Participation Diffusion on Adaptive Influence Networks, Hudson Dong.
Full creation including ideation, website, code, and interface by Hudson Dong, Class of 2027, Stuyvesant High School, New York City.