Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language Processing
The rapid growth of the literature on the commons poses an immense challenge for the synthesis and advancement of knowledge. While it may have been reasonable for previous generations of scholars to keep up to date with a literature adding thirty to fifty papers each year, there are now hundreds of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Utrecht University Library Open Access Journals (Publishing Services)
2021-06-01
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| Series: | International Journal of the Commons |
| Subjects: | |
| Online Access: | https://www.thecommonsjournal.org/articles/1078 |
| _version_ | 1819148390203654144 |
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| author | Joshua Lambert Graham Epstein Jennifer Joel Jacopo Baggio |
| author_facet | Joshua Lambert Graham Epstein Jennifer Joel Jacopo Baggio |
| author_sort | Joshua Lambert |
| collection | DOAJ |
| description | The rapid growth of the literature on the commons poses an immense challenge for the synthesis and advancement of knowledge. While it may have been reasonable for previous generations of scholars to keep up to date with a literature adding thirty to fifty papers each year, there are now hundreds of papers on the commons published each year in addition to those that might be relevant to researchers on the basis of particular sectors, methods, disciplines or theories. This paper exploits recent advances in natural language processing to identify topics and trends in the literature on the commons over the past thirty years using a dynamic topic model. The results highlight the centrality of key themes concerning resources, property rights and local management, alongside growing interest in the topics of conservation and local management. The results also demonstrate the diversity of the field with topics ranging from forests, fisheries and land to urban areas and software. Overall the dynamic topic model appears to provide a useful approach for synthesizing high-level features of the literature. |
| first_indexed | 2024-12-22T13:44:57Z |
| format | Article |
| id | doaj.art-5c0363c1befe4991935bda8cfec3eae8 |
| institution | Directory Open Access Journal |
| issn | 1875-0281 |
| language | English |
| last_indexed | 2024-12-22T13:44:57Z |
| publishDate | 2021-06-01 |
| publisher | Utrecht University Library Open Access Journals (Publishing Services) |
| record_format | Article |
| series | International Journal of the Commons |
| spelling | doaj.art-5c0363c1befe4991935bda8cfec3eae82022-12-21T18:23:50ZengUtrecht University Library Open Access Journals (Publishing Services)International Journal of the Commons1875-02812021-06-0115110.5334/ijc.1078509Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language ProcessingJoshua Lambert0Graham Epstein1Jennifer Joel2Jacopo Baggio3University of Central FloridaUniversity of Central FloridaUniversity of Central FloridaUniversity of Central FloridaThe rapid growth of the literature on the commons poses an immense challenge for the synthesis and advancement of knowledge. While it may have been reasonable for previous generations of scholars to keep up to date with a literature adding thirty to fifty papers each year, there are now hundreds of papers on the commons published each year in addition to those that might be relevant to researchers on the basis of particular sectors, methods, disciplines or theories. This paper exploits recent advances in natural language processing to identify topics and trends in the literature on the commons over the past thirty years using a dynamic topic model. The results highlight the centrality of key themes concerning resources, property rights and local management, alongside growing interest in the topics of conservation and local management. The results also demonstrate the diversity of the field with topics ranging from forests, fisheries and land to urban areas and software. Overall the dynamic topic model appears to provide a useful approach for synthesizing high-level features of the literature.https://www.thecommonsjournal.org/articles/1078nlpcommon-pool resourcesdynamic topic modelingresourcesproperty rightslocal management |
| spellingShingle | Joshua Lambert Graham Epstein Jennifer Joel Jacopo Baggio Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language Processing International Journal of the Commons nlp common-pool resources dynamic topic modeling resources property rights local management |
| title | Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language Processing |
| title_full | Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language Processing |
| title_fullStr | Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language Processing |
| title_full_unstemmed | Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language Processing |
| title_short | Identifying Topics and Trends in the Study of Common-Pool Resources Using Natural Language Processing |
| title_sort | identifying topics and trends in the study of common pool resources using natural language processing |
| topic | nlp common-pool resources dynamic topic modeling resources property rights local management |
| url | https://www.thecommonsjournal.org/articles/1078 |
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