Glossary
Influence Detection
Recognizing who initiates opinions vs who merely amplifies. Finding true decision-makers, not just loud voices.
Definition
Influence Detection distinguishes who initiates opinions and drives decisions from who merely amplifies or echoes. In informational superiority, it's 'Who controls whom?'-not 'Who knows whom?' Sentient OS applies influence detection through causal analysis in vector space: identifying opinion leaders, trend starters, and decision-makers vs. amplifiers. Creator matching uses influence detection to find creators who drive action, not just engagement. The platform models influence networks-who influences whom-enabling targeting of true decision-makers. Influence detection is causal: we understand the direction of influence, not just correlation.
Why It Matters
Influence detection finds true decision-makers. Sentient identifies who drives opinions-enabling targeting that moves markets.
Related Pages
Related Terms
Causal Analysis
Going beyond correlation to understand causality. Not 'Who knows whom?' but 'Who controls whom?'
Informational Superiority
Mathematical modeling of market causalities rather than mere observation. Knowing who controls whom.
Persona Vectors
Mathematical representations of customers as points in complex space, enabling computable similarity and distance.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.