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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["cofe"]

cofe — Collaboration in Financial Economics (2021)

Description

Network of authors and commenters of papers in finantial economics, obtained from the acknowledgement sections of over 5,000 published research papers.

A directed edge from a commenter to an author exists if the commenter commented in a paper by the author.

Tags
Social Directed Weighted Online Collaboration
Citation
Upstream URL OK
https://github.com/Michael-E-Rose/CoFE
Upstream license
MIT, https://raw.githubusercontent.com/Michael-E-Rose/CoFE/master/LICENSE
Networks
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
cofe 13,967 102,039 7.31 35.63 81.17 26.34 0.14 0.13 12 0.99 Directed Unipartite name 420 KiB 775 KiB 792 KiB 611 KiB
Ridiculograms
None drawing