Home▸AI & Machine Learning▸AI Social Network Analyzer: Graph Sentiment & Virality Prediction Simulator

🕸️ AI Social Network Analyzer: Graph Sentiment & Virality Prediction Simulator

Watch a graph neural network propagate sentiment across a simulated social network, trigger a viral post and track its cascade, and see an AI classifier flag bot accounts in real time.

AI & Machine Learning3DModerate60 FPS

Details

CategoryAI & Machine Learning

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsNetwork-size slider (40-160) sets how many accounts are active; bot-accounts slider (0-25%) sets the target share of synthetic bot-like accounts; sentiment-bias slider (-1 to 1) nudges freshly injected sentiment before the GNN smooths it across neighbours; Trigger-viral-post button seeds a random account and runs the cascade model; Bot-detection toggle switches the AI classifier's highlight overlay on/off.

Three.jsAIsocial network analysisgraph neural networksentiment analysisbot detectionInstancedMesh

Related simulations

AI Fraud Detection: Graph Neural Network Risk Scoring SimulatorWatch a graph neural network trace suspicious money flows across a transaction network:…

AI Climate Forecasting: Neural GCM & GraphCast SimulatorCompare a neural weather-forecasting model in the style of Google DeepMind's…

Adaptive Learning Engine: Knowledge Graph Mastery SimulatorWatch an AI tutoring engine navigate a prerequisite knowledge graph, picking each learner's… ⊞ All 880 in AI & Machine Learning →

⚙ Under the hood

Watch a graph neural network propagate sentiment across a simulated social network, trigger a viral post and track its cascade in real time, and see an AI classifier flag bot accounts by their synthetic engagement pattern.

Three.jsAIsocial network analysisgraph neural networksentiment analysisbot detectionInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install