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dataentity · corroborated across sources

ggpubr

for data analysts

Steady

15

signal score

as of 6d ago

1

live items

Too early

trajectory — needs a few more snapshots

stackoverflow

Why this scored 15

every term, weighted
Velocity+0.0 / 40 max

Its fastest-moving item, measured against the pace of its own source

Acceleration+12.0 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities its own items come from

Recency+5.3 / 10 max

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty2.0 / 30 max

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite15.3

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 115

    How can I set the p-value y-positions based on the higher mean of the group, not the maximum?

    Technique to position p-value labels based on group means rather than maxima. — for data analysts

    stackoverflowdataSteady13d ago