Home▸AI & Machine Learning▸AI Social Network Analyzer 2D: Graph Sentiment & Virality

AI Social Network Analyzer 2D: Graph Sentiment & Virality

A flat 2D graph of a social network where a GNN-style message-passing model smooths sentiment across edges every frame, an independent-cascade model spreads a triggered viral post outward, and a bot classifier flags accounts by their synthetic engagement pattern.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

Details

CategoryAI & Machine Learning

RenderingCanvas 2D

DifficultyModerate

Target FPS60

ControlsSet the network size and target bot-account share, drag the sentiment-bias slider to bias new posts positive or negative, click Trigger viral post to seed and watch a cascade spread through the graph, and toggle bot detection to highlight flagged accounts.

graph neural networksocial network analysissentiment propagationvirality cascadebot detectionmessage passing

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This 2D companion drives the same GNN sentiment-propagation, independent-cascade virality and bot-classifier math as the 3D version on a flat, top-down graph view: nodes are colored by live sentiment, a triggered post visibly spreads node-to-node along real edges, and flagged bot accounts get an orange ring — easier to read at a glance than orbiting a 3D scene.

⚙ Under the hood

Flat 2D graph view of a social network: a GNN-style message-passing model smooths sentiment across edges, an independent-cascade model spreads a viral post, and a classifier flags bot accounts.

graph neural networksocial network analysissentiment propagationvirality cascadebot detectionmessage passing

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