biblio-laws 0.0.1a1

Description:

bibliolaws 0.0.1a1

Bibliometric Laws Toolkit
A toolkit to examine Laws of Bibliometrics based on bibliometric data
Installation
pip install biblio-laws

Functions

Examine the laws of bibliometrics, namely, Bradford's Law, Lotka's Law, and Zipf's Law.
Provide an easy tool to estimate parameters from the proposed formula of the laws.

Examples
Examine sample data distributions
from bibliolaws.datasets import *
from bibliolaws.zipf_law import ZipfLaw
from bibliolaws.bradford_law import BradfordLaw
from bibliolaws.lotka_law import LotkaLaw

# (1) Bradford's Law for relationship between journal and publication numbers
bf=BradfordLaw(load_bradford_sample_data())
bf.zone_analysis()
x,y=bf.figure_analysis()

# (2) Lotka's Law for relationship between author and publications numbers
lotka=LotkaLaw(load_lotka_sample_data())
lotka.print_table()
lotka.plot()

# (3) Zipf's Law for relationship between term rank and term freq.
zipf=ZipfLaw(load_zipf_sample_data())
zipf.print_table()
zipf.plot()

Screenshot of results

Bradford's Law



Lotka's Law



Zipf's Law


License
The biblio-laws project is provided by Donghua Chen.