Beekeeping Skill Adoption — 3D Bass Diffusion Network
A 3D peer network of online-course learners: each unskilled node adopts beekeeping skill at the real Bass diffusion hazard p + q·(adopted fraction), with word-of-mouth pulses physically travelling along peer links as the network turns skilled.
This renders the same online-beekeeping-course adoption process as a real 3D peer network: learner nodes on a Fibonacci sphere, each linked to its nearest neighbours, each turning from unskilled grey to skilled gold the instant its Bass hazard p + q·F(t) fires — p from the course platform itself, q from peers who already have the skill, F(t) the network's own live adopted fraction. Every adoption sends a gold pulse physically travelling along that learner's peer links, so you can watch the word-of-mouth term actually propagate through the network's real geometry rather than just reading it off a curve.
Visualize skill adoption in 3D space with instanced spheres and particle effects showing word-of-mouth spread among learners.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install