Beekeeping Skill Adoption — Bass Diffusion Network
Watch beekeeping skill spread through an online-course learner network via the real Bass diffusion model: each unskilled learner's daily hazard is p + q·(adopted fraction), checked live against the closed-form Bass adoption curve.
This simulates how beekeeping skill actually spreads through a population of learners exposed to an online course platform: a small-world network of learner nodes, where every unskilled learner's daily chance of becoming skilled follows the real Bass diffusion hazard p + q·F(t) — p is the course platform's own pull (marketing, the course listing itself), q is peer word-of-mouth, and F(t) is the fraction already skilled. Because each node's adoption is drawn stochastically from that exact hazard, the network's own cumulative curve is the true F(t) of the process, plotted live alongside the closed-form Bass solution for the same p and q so you can see the stochastic simulation track the analytic S-curve.
Explore how beekeepers learn skills through an online course using a Bass diffusion model on a ring-lattice network.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install