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license: mit
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---
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```
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@article{
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title={Linking Datasets on Organizations Using Half
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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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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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license: mit
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---
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# Introduction
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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: 1-20, 2024. [doi.org/10.1017/psrm.2024.55](https://doi.org/10.1017/psrm.2024.55)
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```
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@article{libgober2024linking,
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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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journal={Political Science Methods and Research},
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year={2024},
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pages={1-20},
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publisher={}
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}
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```
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# Details
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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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Finally, data from all examples used in the paper are available in `Example*` folders. In each folder, the `x` and `y` data have linkage variables named `by_x` and `by_y` respectively, as does the merged `z` dataset.
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# Questions
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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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