How to cite Segregation Wiki: Difference between revisions
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Additionally, we developed an extensive '''taxonomy of segregation forms''' to semantically organize access to this vast transdisciplinary landscape—the first systematic, bottom-up classification of its kind. By leveraging network analysis and AI-driven semantic generation, this semi-hierarchical taxonomy captures the relationships between various segregation forms as reflected in the literature, categorized under distinct 'labels' or 'types' of segregation. You can explore the taxonomy in detail <here>. | Additionally, we developed an extensive '''taxonomy of segregation forms''' to semantically organize access to this vast transdisciplinary landscape—the first systematic, bottom-up classification of its kind. By leveraging network analysis and AI-driven semantic generation, this semi-hierarchical taxonomy captures the relationships between various segregation forms as reflected in the literature, categorized under distinct 'labels' or 'types' of segregation. You can explore the taxonomy in detail <here>. | ||
If you wish to cite the original method used for identifying segregation forms or the network analyses presented on Segregation Wiki, please reference the following source: | If you wish to cite the original method used for identifying segregation forms or the network analyses presented on Segregation Wiki, please reference the following source: | ||
Revision as of 05:08, 30 September 2024
Please cite Segregation Wiki articles in the following format (subject to different citation styles, e.g. APA):
Article title. (Year, Month Day). In Segregation Wiki. URL
Example: Social segregation. (2024, September 30). In Segregation Wiki. https://segregationwiki.cityscience.group/index.php/Social_segregation
The multidisciplinary landscape of Segregation Research
Segregation Wiki originated from a comprehensive meta-study. By analyzing open-access excerpts from over 10,000 documents in the Scopus dataset, we identified and mapped the diverse forms of segregation studied across more than 160 disciplines, dating back to 1913.
Additionally, we developed an extensive taxonomy of segregation forms to semantically organize access to this vast transdisciplinary landscape—the first systematic, bottom-up classification of its kind. By leveraging network analysis and AI-driven semantic generation, this semi-hierarchical taxonomy captures the relationships between various segregation forms as reflected in the literature, categorized under distinct 'labels' or 'types' of segregation. You can explore the taxonomy in detail <here>.
If you wish to cite the original method used for identifying segregation forms or the network analyses presented on Segregation Wiki, please reference the following source:
Netto, V., Krenz, K., Fiszon, M., Peres, O., Rosalino, D., & Saboya, R. (2024). Decoding segregation: Navigating a century of segregation research across disciplines and introducing a bottom-up taxonomy. [Journal Name], [Volume(Issue)], [Page Range]. https://doi.org/[DOI]
Please use this reference while our article is under review in a high-impact scientific journal.