3D Force-Directed Network
Three.js · WebGL
Descriptive Statistics
Summary of all variables — source nodes only
Load a CSV to see statistics
Correlation Matrix
Pearson correlations among numeric variables · source nodes only
Load a CSV to see correlations
Random Forest — Feature Importance
Variable importance for predicting centrality · 100 bootstrap trees · MSE variance reduction
Load a CSV to run analysis
Longitudinal Network View
Side-by-side comparison of Baseline · Midline · Endline networks · combined overlay below
⬡ Combined Network — connections color-coded by wave of first appearance
● Baseline edges
● New in Midline
● New in Endline
● Shared B+M
● Shared all waves
Network Evolution
How key metrics changed across data collection waves · intervention points marked
Metric trajectories over time
● Baseline
● Midline
● Endline
▲ Intervention
Learning Epidemic Modeling — SEIR
Simulation of knowledge diffusion through the organizational network using an adapted SEIR epidemiological framework
Model Equations
dS/dt = −βS(t)I(t)/N
dE/dt = βS(t)I(t)/N − γE(t)
dI/dt = γE(t) − δI(t)
dR/dt = δI(t)
N = S + E + I + R (constant)
SEIR Compartment Trajectories
S Susceptible
E Exposed
I Adopting
R Recovered
Department-Level R₀ Estimates
based on within-department network density