Create a co-citation graph from a list of papers
Project description
Co-citation graph generator
Generate a co-citation graph from an article list in two steps:
- Get the references of each article and their corresponding journals
- Generate the co-citation pairs and add them the graph. The weights are the number of times the journals are co-cited.
Example
from co_citation import CoCitation
cites = CoCitation(
[
"arxiv:1602.05112",
"pubmed:8113053",
"sciencedirect:S0167923610001703",
"scopus:10.1016/j.cmet.2020.11.014",
],
data_type="journal", # or "article", "institution"
wait=None, # None or the time to wait between requests (in seconds)
retries=None, # None or the number of retries for HTTPS requests
first_last_author=False, # Set to True to only get the institution of the first and last authors
)
cites.write_graph_edges("graph")
cites.plot_graph(display=False, k=10)
Documentation
See the documentation.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
co-citation-0.6.tar.gz
(21.8 kB
view hashes)
Built Distribution
co_citation-0.6-py3-none-any.whl
(20.0 kB
view hashes)
Close
Hashes for co_citation-0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a2fe99863b0b75f68f7581e2e0cbfa79dea9d111a604a13d5f0108a70a755ad3 |
|
MD5 | 3bebfb595ae9450677be4340730cab57 |
|
BLAKE2b-256 | 77c54d5443c12c6c198d83bfbcdc82d1ec58b8fc58f73ff66c5fbe1a6c6148d0 |