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INSTITUTIONAL TECHNICAL WHITEPAPER v2.4

TVM Terminal: Mathematical Derivation & Virality Scoring Methodology

TVM Telemetry Research Group ยท Published 2026 ยท Glasgow, United Kingdom

1. Abstract & Mathematical Objectives

Modern crypto assets exhibit highly non-linear diffusion patterns across social media, developer repositories, and on-chain liquidity pools. The Virality & Momentum Score (VMS) provides a single, anti-gaming quantitative metric ($0.0 \le VMS \le 100.0$) evaluating cross-platform momentum acceleration while filtering out bot-driven manipulation.

2. Master Derivation Formula

Primary Equation (VMS_i):

VMS_i = 0.35 ยท S_i + 0.25 ยท A_i + 0.15 ยท M_i + 0.10 ยท O_i + 0.10 ยท P_i + 0.05 ยท I_i

S_i (Social Entropy Weight: 35%)Cross-platform social Z-score weighted with entropy penalty to penalize bot farm clusters up to 80%.
A_i (On-Chain Adoption Weight: 25%)Composite rank of ฮ” active addresses, ฮ” DEX swap volume, and new token holder growth.
M_i (Price Velocity Weight: 15%)Volatility-adjusted price rate of change (ROC / ฯƒ_price).
O_i & P_i (Prediction & Sentiment: 20%)Real-money prediction odds shift (Polymarket / Kalshi) and Google Trends NLP sentiment.

3. Sybil & Bot Farm Penalty (B_shield)

To prevent astroturfing, TVM Terminal measures social network graph centrality and account age entropy. When bot farm activity exceeds 15% of total signal volume, the penalty multiplier (B_shield) is dynamically applied:

B_shield = 1.0 - max(0, min(0.8, (BotRatio - 0.15) ร— 2.0))