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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.17234 |
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| _version_ | 1866908976801644544 |
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| author | Sharma, Aryan Li, Jaden Chu, Christina Sisk, Anna |
| author_facet | Sharma, Aryan Li, Jaden Chu, Christina Sisk, Anna |
| contents | Congressional Research Service (CRS) reports provide detailed analyses of major policy issues to members of the US Congress. We extract and analyze data from 2,010 CRS reports written between 1996 and 2024 to quantify inter-country relationships, representing 172 countries as nodes and 4,137 shared interests as edges within a weighted, bidirectional network. Through the Louvain method, we extract non-overlapping communities from our network and identify clusters with shared interests. We then compute the eigenvector centrality of countries to highlight their network influence. The results of this work could enable improvements in sourcing evidence for analytic products and understanding the connectivity of our world. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_17234 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quantifying Global Networks of Exchange through the Louvain Method Sharma, Aryan Li, Jaden Chu, Christina Sisk, Anna Social and Information Networks Congressional Research Service (CRS) reports provide detailed analyses of major policy issues to members of the US Congress. We extract and analyze data from 2,010 CRS reports written between 1996 and 2024 to quantify inter-country relationships, representing 172 countries as nodes and 4,137 shared interests as edges within a weighted, bidirectional network. Through the Louvain method, we extract non-overlapping communities from our network and identify clusters with shared interests. We then compute the eigenvector centrality of countries to highlight their network influence. The results of this work could enable improvements in sourcing evidence for analytic products and understanding the connectivity of our world. |
| title | Quantifying Global Networks of Exchange through the Louvain Method |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2505.17234 |