Metadata-Version: 2.0
Name: metaknowledge
Version: 0.9.2
Summary: A library for handling Web of science files
Home-page: https://github.com/networks-lab/metaknowledge
Author: Reid McIlroy-Young, John McLevey
Author-email: rmcilroy@uwaterloo.ca, john.mclevey@uwaterloo.ca
License: GPL
Download-URL: https://github.com/networks-lab/metaknowledge/archive/.tar.gz
Keywords: WOS
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Sociology
Classifier: Topic :: Text Processing
Requires-Dist: networkx
Provides-Extra: visual
Requires-Dist: matplotlib; extra == 'visual'
Requires-Dist: scipy; extra == 'visual'
Requires-Dist: numpy; extra == 'visual'

metaknowledge
=============

metaknowledge is a Python3 library that simplifies bibliometric research
using Web of Science data. It reads a directory of plain text files
containing meta-data on publications and citations, and writes to a
variety of data structures that are suitable for quantitative, network,
and text analyses. It handles large datasets (e.g. several million
records) efficiently.

The website can be found at
`networkslab.org/metaknowledge <http://networkslab.org/metaknowledge/>`__.

Installing
----------

To install run ``python3 setup.py install``

For information on alternate installs read the documentation at the
`website <http://networkslab.org/metaknowledge/installation/>`__.


