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--- |
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license: mit |
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Data repository for: |
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Brian Libgober, Connor T. Jerzak. Linking Datasets on Organizations Using Half-a-Billion Open-Collaborated Records. Political Science Methods and Research, 2024. [[PDF]](https://doi.org/10.1017/psrm.2024.55) |
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``` |
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@article{LJ-LinkOrgs, |
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title={Linking Datasets on Organizations Using Half-a-Billion Open-Collaborated Records}, |
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author={Libgober, Brian and Connor T. Jerzak}, |
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pages={1-20}, |
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journal={Political Science Methods and Research}, |
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year={2024} |
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} |
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``` |
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This repository contains large-scale training data for improving linkage of data on organizations. `NegMatches_mat.csv` and `NegMatches_mat_hold.csv` refer to millions of negative name matches examples derived from the LinkedIn network (see paper for details). `PosMatches_mat.csv` and `PosMatches_mat_hold.csv` refer to millions of positive name matches examples derived from the LinkedIn network (see paper for details). |
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Additionally, files with saved `*_bipartite` refer to the bipartite network representation of the LinkedIn network that we use for improving linkage. files with saved `*_bipartite` refer to the Markov network representation of the LinkedIn network that we use for improving linkage. |
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With any questions, don't hestitate to reach out to `connor.jerzak@gmail.com`. |
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[<img src="https://i0.wp.com/connorjerzak.com/wp-content/uploads/2023/07/f1.png?w=738&ssl=1" width="400" height="400">](https://connorjerzak.com/linkorgs-summary/) |
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