Bibliometric Laws

Lotka, Bradford, Zipf, Price and Pareto laws with theoretical fits.

Bibliometric Laws — The Bibliometric Laws widget.

Overview

Tests the classic bibliometric distributions on your corpus:

Lotka — author productivity (how many authors publish n papers);
Bradford — journal scatter into core/zone structure;
Zipf — word-frequency rank distribution;
Price / Pareto — concentration of output/citations.

It plots the empirical distribution with the fitted theoretical curve and reports the estimated parameters and goodness of fit.

Inputs

Data (Table) — bibliographic data.

Outputs

Results (Table) — fitted parameters and fit statistics.
Distribution (Table) — the empirical frequency distribution.

Controls

Select Law — which law to test (Lotka / Bradford / Zipf / Price / Pareto).
Data Column — the field the law is computed on (authors, sources, words…); defaults follow the chosen law.
Show theoretical fit — overlay the fitted curve.
Use log-log scale — plot on log-log axes (where the laws are linear).
Show grid — toggle grid lines.

Actions: Analyze Law.