Dissertation
Predictive and visual analytics of scientific development
Doctor of Philosophy (Ph.D.), Drexel University
Jun 2020
DOI:
https://doi.org/10.17918/00000250
Abstract
Background: The increasing availability of big scholarly data and computational methods offer unprecedented opportunities to understand the mechanism of how science advances and predict critical scientific dynamics. However, our understanding of driving factors behind scientific development is limited and predictions driven by big scholarly data are not well-studied.
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Details
- Title
- Predictive and visual analytics of scientific development
- Creators
- Jiangen He
- Contributors
- Erjia Yan (Advisor)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xiii, 143 pages
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- Information Science (Informatics) (2013-2026); College of Computing and Informatics (2013-2026); Drexel University
- Other Identifier
- 991014695237404721