The relationship between forward and backward diversity in CORE datasets
Autor: | Jan Youtie, Seokbeom Kwon, Alan L. Porter, Stephen Carley |
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Rok vydání: | 2019 |
Předmět: |
Intersection (set theory)
Computer science 05 social sciences General Social Sciences Library and Information Sciences 050905 science studies Computer Science Applications Correlation Educational research Core (game theory) Benchmark (surveying) Econometrics 0509 other social sciences 050904 information & library sciences Diversity (business) |
Zdroj: | Scientometrics. 120:961-974 |
ISSN: | 1588-2861 0138-9130 |
DOI: | 10.1007/s11192-019-03163-3 |
Popis: | In this paper we seek to better understand the relationship between forward diversity in the Cognitive Science and Educational Research literature, as well as what we call Border fields (i.e. those fields which exist at the intersection of Cognitive Science and Education Research). We find a clear and convincing relationship between forward and backward diversity in the datasets we study. Among all available explanatory variables, Integration scores claim the strongest correlation in terms of their ability to account for forward diversity. When comparing results from this study to benchmark results from a prior study (using the same indicators) the datasets in this study show a tendency to be both more integrative and diffuse. |
Databáze: | OpenAIRE |
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