HomeCybersecurityMisinformation Spread: 2D Reaction-Diffusion SEIZ Model

Misinformation Spread: 2D Reaction-Diffusion SEIZ Model

Interactive 2D counterpart to the 3D bot-amplified misinformation graph simulator: a genuine reaction-diffusion SEIZ field spreads a false claim across a spatial population, while a discrete botnet with its own near-synchronized reaction timer injects long-range shares, reproducing the same bot-timing-synchrony detection statistic from a completely independent mechanism.

Cybersecurity2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-misinformation-network-propagation ↗ Open standalone

This is a genuine, independently-computed 2D counterpart to the 3D bot-amplified misinformation graph simulator. Instead of stepping individual accounts on a small-world graph, it solves a real finite-difference reaction-diffusion PDE for a Susceptible→Exposed→organic-Sharer/skeptic (SEIZ) field spreading across a spatial population, with a separately-modeled discrete botnet whose near-synchronized reaction timer injects long-range shares into random distant cells. The live "bot timing synchrony" statistic — the standard deviation of every bot's fire timestamp — is computed exactly as it is in the 3D version, but from this fully independent PDE-plus-point-process kernel, and was verified against the closed-form variance of a uniform distribution before shipping. Watch the outbreak spread outward from the seed as a genuine diffusive wave, then dial in a coordinated botnet to see how synchronized automated timing produces the same statistical fingerprint real platforms use to flag coordinated inauthentic behavior.

⚙ Under the hood

A genuine 2D counterpart to the 3D bot-amplified misinformation graph simulator: a real finite-difference reaction-diffusion PDE spreads a Susceptible-Exposed-Sharer/Skeptic (SEIZ) field across a spatial population, while a separate discrete botnet with its own near-synchronized reaction timer injects long-range shares, reproducing the same bot-timing-synchrony detection statistic from a fully independent simulation kernel.

misinformationbot detectionreaction-diffusioncybersecuritynetwork propagationthreat intelligenceSEIZ model

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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