Overview
- Provides a complete guide to analyzing scholarly communication and the informetrics used for the assessment of scholarly impact
- Consolidates techniques and technologies for measuring scholarly impact from the fields of statistical science, scientific visualization, network analysis, text mining and information retrieval
- Equips data scientists with the ability to apply these techniques and technologies to other social network analyses and metrics-related research
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Table of contents (14 chapters)
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Network Tools and Analysis
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The Science System
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Statistical and Text-Based Methods
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Visualization
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Measuring Scholarly Impact
Book Subtitle: Methods and Practice
Editors: Ying Ding, Ronald Rousseau, Dietmar Wolfram
DOI: https://doi.org/10.1007/978-3-319-10377-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-10376-1Published: 19 November 2014
Softcover ISBN: 978-3-319-34863-6Published: 23 August 2016
eBook ISBN: 978-3-319-10377-8Published: 06 November 2014
Edition Number: 1
Number of Pages: XIV, 346
Number of Illustrations: 21 b/w illustrations, 68 illustrations in colour
Topics: Information Storage and Retrieval, Statistics for Social Sciences, Humanities, Law, Data Mining and Knowledge Discovery, Artificial Intelligence, Visualization