Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/UWNETLAB/metaknowledge
A Python library for doing bibliometric and network analysis in science and health policy research
https://github.com/UWNETLAB/metaknowledge
bibliometrics citations co-citation informetrics metaknowledge natural-language-processing scientometrics social-network-analysis sociology-of-science
Last synced: about 1 month ago
JSON representation
A Python library for doing bibliometric and network analysis in science and health policy research
- Host: GitHub
- URL: https://github.com/UWNETLAB/metaknowledge
- Owner: UWNETLAB
- License: gpl-2.0
- Created: 2015-07-16T05:36:07.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2022-06-09T10:16:55.000Z (about 2 years ago)
- Last Synced: 2024-05-16T23:24:47.340Z (about 2 months ago)
- Topics: bibliometrics, citations, co-citation, informetrics, metaknowledge, natural-language-processing, scientometrics, social-network-analysis, sociology-of-science
- Language: Python
- Homepage:
- Size: 25.4 MB
- Stars: 161
- Watchers: 15
- Forks: 37
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-scholarly-data-analysis - metaknowledge - A Python library for doing bibliometric and network analysis in science and health policy research
README
# metaknowledge
`metaknowledge` is a Python3 package that simplifies bibliometric research using data from various sources. 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. You can find the [documentation](https://metaknowledge.readthedocs.io/).
## Installing
To install run `python3 setup.py install`