Mapping the international health aid community using web data
Abstract International aid is a complex system: it involves different issues, countries, and donors. In this paper, we use web crawling to collect information about the activities of international aid organizations on different health-related topics and network analysis to depict this complex system...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-05-01
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| Series: | EPJ Data Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1140/epjds/s13688-018-0141-0 |
| _version_ | 1817991682083258368 |
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| author | Michele Coscia Katsumasa Hamaguchi Maria Elena Pinglo Antonio Giuffrida |
| author_facet | Michele Coscia Katsumasa Hamaguchi Maria Elena Pinglo Antonio Giuffrida |
| author_sort | Michele Coscia |
| collection | DOAJ |
| description | Abstract International aid is a complex system: it involves different issues, countries, and donors. In this paper, we use web crawling to collect information about the activities of international aid organizations on different health-related topics and network analysis to depict this complex system of relationships among organizations. By systematically collecting co-occurrences of issues, countries, and organization names from more than a hundred websites, we are able to construct multilayer networks describing, for instance, which issues are related to each other according to which organizations. Our results show that there is a surprising amount of homophily among organizations: organizations of the same type (multilateral, bilateral, private donors, etc.) tend to be co-cited in groups. We also create a taxonomy of issues that are generally mentioned together. Finally, we perform simulations, showing that messages originating from different organizations in the international aid community can have a different reach. |
| first_indexed | 2024-04-14T01:16:30Z |
| format | Article |
| id | doaj.art-fe35b6c249854e0e8c334786d11a7eb5 |
| institution | Directory Open Access Journal |
| issn | 2193-1127 |
| language | English |
| last_indexed | 2024-04-14T01:16:30Z |
| publishDate | 2018-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EPJ Data Science |
| spelling | doaj.art-fe35b6c249854e0e8c334786d11a7eb52022-12-22T02:20:51ZengSpringerOpenEPJ Data Science2193-11272018-05-017112710.1140/epjds/s13688-018-0141-0Mapping the international health aid community using web dataMichele Coscia0Katsumasa Hamaguchi1Maria Elena Pinglo2Antonio Giuffrida3Naxys Department of Mathematics, University of NamurIndependent Evaluation Group, World BankIndependent Evaluation Group, World BankIndependent Evaluation Group, World BankAbstract International aid is a complex system: it involves different issues, countries, and donors. In this paper, we use web crawling to collect information about the activities of international aid organizations on different health-related topics and network analysis to depict this complex system of relationships among organizations. By systematically collecting co-occurrences of issues, countries, and organization names from more than a hundred websites, we are able to construct multilayer networks describing, for instance, which issues are related to each other according to which organizations. Our results show that there is a surprising amount of homophily among organizations: organizations of the same type (multilateral, bilateral, private donors, etc.) tend to be co-cited in groups. We also create a taxonomy of issues that are generally mentioned together. Finally, we perform simulations, showing that messages originating from different organizations in the international aid community can have a different reach.http://link.springer.com/article/10.1140/epjds/s13688-018-0141-0Web crawlingGlobal health architectureComplex networks |
| spellingShingle | Michele Coscia Katsumasa Hamaguchi Maria Elena Pinglo Antonio Giuffrida Mapping the international health aid community using web data EPJ Data Science Web crawling Global health architecture Complex networks |
| title | Mapping the international health aid community using web data |
| title_full | Mapping the international health aid community using web data |
| title_fullStr | Mapping the international health aid community using web data |
| title_full_unstemmed | Mapping the international health aid community using web data |
| title_short | Mapping the international health aid community using web data |
| title_sort | mapping the international health aid community using web data |
| topic | Web crawling Global health architecture Complex networks |
| url | http://link.springer.com/article/10.1140/epjds/s13688-018-0141-0 |
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