# Netzschleuder network catalogue, repository and centrifuge

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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["corporate_directors"]


# corporate_directors — Global corporate directors (2016)

Description

Bipartite network of directors and the companies on whose boards they sit, spanning 54 countries worldwide, constructed from data collected by the Financial Times (c. Sept. 2016). Person nodes are annotated with age and gender. Company nodes are annotated with their country, sector, industry, and number of employees.1

1. Description obtained from the ICON project.

Tags
Economic Governance Unweighted Metadata
Citation
• A. Evtushenko and M. T. Gastner, "Beyond Fortune 500: Women in a Global Network of Directors." In H. Cherifi et al. (Eds.), Complex Networks and Their Applications VIII, Volume 1, pp. 586-598 (2020), https://arxiv.org/abs/1910.07441
Upstream URL OK
https://doi.org/10.5281/zenodo.3553442
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
corporate_directors 356,638 377,060 2.11 3.60 13.48 2771.10 -0.48 0.00 48 0.74 Undirected Bipartite age country employeesnum gender industry sector type 6.1 MiB 9.3 MiB 8.7 MiB 7.6 MiB
Ridiculograms