The structure of segregation in co-authorship networks and its impact on scientific production
Abstract Co-authorship networks, where nodes represent authors and edges represent co-authorship relations, are key to understanding the production and diffusion of knowledge in academia. Social constructs, biases (implicit and explicit), and constraints (e.g. spatial, temporal) affect who works wit...
| Автори: | , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
SpringerOpen
2023-10-01
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| Серія: | EPJ Data Science |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1140/epjds/s13688-023-00411-8 |