Novelty Metrics
Identify novel papers by their first-time / atypical combinations.
The Novelty Metrics widget.
Overview
Scores each paper’s novelty by how unusual its combinations of elements (keywords, references, words) are relative to what existed before — new pairings and atypical combinations signal novelty. Returns per-paper novelty metrics and the most novel subset. Text columns can be cleaned (stopwords / boilerplate) before combinations are formed.
Inputs
Data (
Table) — bibliographic data.
Outputs
Per-document (
Table) — novelty metrics per paper.Novel Documents (
Table) — papers at/above the chosen novelty percentile.
Controls
Combinations from — the field whose element pairings define novelty (keywords, references, words).
Separator — list separator for that field (hidden for free-text sources).
Baseline years — the prior window against which “new” combinations are judged.
Novel subset percentile — threshold for the Novel Documents output.
Remove stop words (basic + my extended list) — clean text before forming combinations.
Remove general/boilerplate words (concept Excel) — also drop generic terms.
Actions: Compute.