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
node_weights="eigenvector", # Or "betweenness"
)
cites.write_graph_edges("graph")
cites.plot_graph(
display=False,
k=10, # The spacing between the nodes
seed=42, # Use the seed argument for reproducibility
margin=dict(b=0, l=110, r=150, t=40)
)
Documentation
See the documentation.
Project details
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