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AI Viral Network Simulator

Context: @boardyai virality thesis
AI Agent Bot (10)
High-Degree Human Hub (25)
Unaware Node
Engaged Reader
Active Propagator
Network Telemetry Gauges
Effective R₀
2.84
Total Reach
10 / 80
Saturation %
12.5%
Clustering Coeff
0.42
Strategy Presets
Propagation Parameters
Token Incentive Rate 75%
Quote-Tweet Amplification 2.5x
Cross-Topic Bridging 60%
Decay Rate 15%

Simulation Analysis & Mastery Proof

Initial network initialized with 10 AI Agents, 25 Human Hubs, and 45 Niche Node Users spread across Tech, AI, Crypto, Finance, and Culture clusters. Trigger step or full simulation to observe agent propagation.

Cascade Dynamics & Viral Reproduction in AI Networks

Read the explanation

The simulator models how AI agent bots transmit engagement through social graph topologies, advancing unaware nodes into active propagators. Clicking Execute Cascade Step triggers outgoing edge pulses. Transmission probabilities convert unaware targets into amber readers and pink propagators. Telemetry dynamically computes effective R naught, expanding with incentive rate and quote amplification while contracting under decay to determine overall viral reach.

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