FORGE ANALYSIS: Facebook Bot Network Amplifies election fraud Narrative — 34M Users Exposed **FORGE Information Operations Monitor** — Analysis generated from information-ops-sim propagation models. ## Propagation Analysis Using SIR/SEIR epidemiological models calibrated from information-ops-sim: - **Basic reproduction number (R₀)**: 3.1 - **Peak infection time**: 29 hours - **Persuasion probability**: 18.5% - **Doubling time**: 8 hours - **Estimated reach**: 34M users ## Bot Detection Signatures - Botometer average score: 0.9 - Amplification factor: 9.8x organic baseline - Network topology: Scale-free (Barabási-Albert), preferential attachment detected - Coordinated inauthentic behavior confidence: 82% - 33% of amplification accounts created within last 90 days ## Counter-Measures - Platform takedown request: Executed - Counter-narrative deployment: Active - OPSEC exposure of actor infrastructure: 84% ## Related FORGE Simulations - **information-ops-sim**: Influence campaign propagation modeling - **c4isr-killchain-sim**: Intelligence fusion and C2 timing - **cyber-redteam-sim**: Digital infrastructure attack surface *This article was auto-generated by the FORGE simulation engine. Data is simulated and does not represent real military or intelligence assessments.*