Measuring Scholarly Impact Methods and Practice /
This book is an authoritative handbook of current topics, technologies and methodological approaches that may be used for the study of scholarly impact. The included methods cover a range of fields such as statistical sciences, scientific visualization, network analysis, text mining, and information...
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| Other Authors: | , , |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edition: | 1st ed. 2014. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-10377-8 |
Table of Contents:
- Community detection and visualization of networks with the map equation framework
- Link Prediction
- Network analysis and indicators
- PageRank-related methods for analyzing citation networks
- Systems Life Cycle and its relation with the Triple Helix
- Spatial scientometrics and scholarly impact: A review of recent studies, tools and methods
- Researchers’ publication patterns and their use for author disambiguation
- Knowledge integration and diffusion: Measures and mapping of diversity and coherence
- Limited dependent variables models and probabilistic prediction in informetrics
- Text mining with the Stanford CoreNLP
- Topic modeling: Measuring scholarly impact using a topical lens
- The substantive and practical significance of citation impact differences between institutions: Guidelines for the analysis of percentiles using effect sizes and confidence intervals
- Visualizing bibliometric networks
- Replicable science of science studies.