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E-raamat: CiteSpace: A Practical Guide for Mapping Scientific Literature

  • Formaat: 190 pages
  • Ilmumisaeg: 01-Oct-2016
  • Kirjastus: Nova Science Publishers Inc
  • ISBN-13: 9781536102956
  • Formaat - PDF+DRM
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  • Formaat: 190 pages
  • Ilmumisaeg: 01-Oct-2016
  • Kirjastus: Nova Science Publishers Inc
  • ISBN-13: 9781536102956

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Dr. Chaomei Chen is a Professor of Informatics in the College of Computing and Informatics at Drexel University. His research expertise is in the study of information and scientific knowledge, including information visualization, visual analytics, knowledge domain visualization, mapping scientific frontiers, and theories of scientific discoveries and creativity. He is the founder and the Editor-in-Chief of the journal Information Visualization, the founder and the Specialty Chief Editor of Frontiers in Research Metrics and Analytics. He is the author of The Fitness of Information: Quantitative Assessments of Critical Information (Wiley, 2014), Turning Points: The Nature of Creativity (Springer, 2011), Information Visualization: Beyond the Horizon (Springer 2004, 2006) and Mapping Scientific Frontiers: The Quest for Knowledge Visualization (Springer 2003, 2013). Dr. Chen has designed and developed the widely used visual analytics software CiteSpace for visualizing and analyzing structural and temporal patterns in scientific literature. He served as a Chang Jiang Scholar at Dalian University of Technology, China. He received a B.Sc. in Mathematics from Nankai University, China, an M.Sc. in Computation from the University of Oxford in England and a Ph.D. in Computer Science from the University of Liverpool, England. CiteSpace is a freely available computer program written in Java for visualizing and analyzing literature of a scientific domain. A knowledge domain is broadly defined in order to capture the notion of a logically and cohesively organized body of knowledge. It may range from specific topics such as post-traumatic stress disorder to fields of study lacking clear-cut boundaries, such as research on terrorism or regenerative medicine. CiteSpace takes bibliographic information, especially citation information from the Web of Science, and generates interactive visualizations. Users can explore various patterns and trends uncovered from scientific publications, and develop a good understanding of scientific literature much more efficiently than they would from an unguided search through literature. The full text of many scientific publications can be accessed with a single click through the interactive visualization in CiteSpace. At the end of a session, CiteSpace can generate a summary report to summarize key information about the literature analyzed. This book is a practical guide not only on how to operate the tool but also on why the tool is designed and what implications of various patterns that require special attention. This book is written with a minimum amount of jargon. It uses everyday language to explain what people may learn from the writings of scholars of all kinds.Target Audience:Users of the CiteSpace software, and anyone who is interested in mapping scientific literature, also known as science mapping, more broadly anyone in scientometrics, bibliometrics, citation analysis, and research evaluation, and visual analytics. Any researchers who need to better and faster ways to understand scholarly literature of their own fields.
Preface ix
Chapter 1 Introduction
1(8)
1.1 Heilmeier's Catechism
1(3)
1.2 How Can CiteSpace Help?
4(1)
1.3 Geographic Distribution of Users
5(1)
1.4 How Should I Cite CiteSpace?
6(3)
Chapter 2 Basic Concepts and Principles
9(10)
2.1 Citations
9(2)
2.2 Citation Indexing
11(1)
2.3 Measuring the Quality and Productivity
11(1)
2.4 Representing a Knowledge Domain
12(7)
Chapter 3 Getting Started with CiteSpace
19(58)
3.1 Download
19(2)
3.2 Configuring the JVM
21(2)
3.3 Launch
23(2)
3.4 Science Mapping with CiteSpace
25(52)
Chapter 4 The Demo Projects
77(30)
4.1 Learning the Process
77(3)
4.2 Demo 1: Terrorism Research (1996-2003)
80(10)
4.3 Demo 2: Scientometrics (1980-2016)
90(5)
4.4 Demo 3: CiteSpace Landmark Papers (2004-2016)
95(4)
4.5 Demo 4: Scopus
99(1)
4.6 Demo 5: CSSCI (2010-2014)
100(3)
4.7 Demo 6: CNKI
103(2)
4.8 Demo 7: CSCD
105(2)
Chapter 5 Work with a Data Set of Your Own
107(34)
5.1 Data Collection
107(10)
5.2 Data Processing
117(11)
5.3 Interactive Visualization
128(13)
Chapter 6 Landmark Cases of CiteSpace
141(20)
6.1 String Theory
141(5)
6.2 Terrorism Research
146(2)
6.3 Mass Extinctions
148(3)
6.4 Regenerative Medicine
151(1)
6.5 Structural Variation Analysis (SVA)
152(6)
6.6 Scanning Tunneling Microscopy
158(2)
6.7 Concluding Remarks
160(1)
Appendix
161(8)
A.1 Structure of the CiteSpace-MySQL Database
161(2)
A.2 Science Mapping Tools
163(3)
A.3 General-Purpose Visualization Tools
166(3)
References 169(4)
About the Author 173(2)
Index 175