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  license: mit
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  ---
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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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  license: mit
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  ---
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+ # Introduction
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+ _Data repository for:_
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+
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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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+
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+ # Details
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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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+ 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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+
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+ # Questions
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+
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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/)