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NOOSPHERE

Methodology

Transparency is a core feature of Noosphere. This page explains what the numbers mean, how trends are detected, and what the limitations are.

Data mode · DemoSynthetic data for interface preview

What the numbers mean

Noosphere uses a normalized interest index on a 0–100 scale. A value of 100 means “the highest relative interest observed within the current comparison window,” not “100 searches.”

  • Interest index — relative interest, normalized to 0–100. Not an absolute count.
  • Growth — percentage change versus the prior period, computed as (current − baseline) / baseline × 100.
  • Momentum — a 0–100 Noosphere score combining weighted growth, acceleration, geographic spread and persistence (see below).
  • Absolute volume — shown only when a licensed provider supplies actual counts. Otherwise omitted.

Normalization

Different providers report different metrics. Noosphere maps every source onto the same axes by rescaling raw values into a 0–100 range relative to the observed minimum and maximum. This makes topics comparable across countries and time, but it means the index is relative, not absolute.

How trends are detected

A topic's status (Rising, Stable, Declining, Emerging) is derived from transparent thresholds applied to its own recent history — not from arbitrary fixed numbers:

  • Rising — growth ≥ +10% versus its prior period.
  • Declining — growth ≤ −10%.
  • Emerging — recent interest is an unusual, sustained deviation above a low historical baseline (roughly a z-score ≥ 2).
  • Stable — otherwise.

Momentum is a weighted combination of recent growth (40%), acceleration (30%), geographic spread (20%) and persistence (10%). This is Noosphere's internal methodology; it is not presented as a scientifically validated measure.

Geographic spread & contrasts

Geographic spread uses normalized Shannon entropy of the interest distribution across countries: a topic popular everywhere scores high, while a topic concentrated in one country scores low. Contrast is the inverse signal — how much a single country dominates.

Data sources

Noosphere is built on a provider abstraction. Today the application runs on a deterministic demo provider that generates consistent, clearly-labeled synthetic data so the interface can be exercised end to end. It never claims to be real.

Licensed providers can be connected without rewriting the application. The architecture separates the UI, application services, the trend-intelligence layer, the provider interface, and the concrete data source.

Limitations

  • Normalized scores are relative, not absolute search counts.
  • Demo data is synthetic and must not be interpreted as real search behavior.
  • Trend classification reflects a transparent internal methodology, not validated statistical inference.
  • Noosphere does not attempt to predict the future or claim to capture every search on Earth.