How to Use CiteSpace
Last updated on 2019-08-13
About the Book
What is a scientific field about? What do we know about its past and present? What are the most active areas of research in the field?
CiteSpace is a freely available computational tool designed to find answers to these questions through interactive visual explorations of patterns and trends conveyed by the body of scientific literature. This book demonstrates the visual analytic procedure of applying CiteSpace to the study of a potentially wide range of scientific fields based on bibliographic data files from the Web of Science, Scopus, Dimensions, CSSCI, and other resources. The new edition is updated for CiteSpace 5.3.R9
About the Author
Table of Contents
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Gallery
- G1 Visualizations Generated by Us
- G2 Visualizations Generated by Other Users
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1 What is CiteSpace for?
- 1.1 A Quick Overview
- 1.2 Typical Questions to Answer
- 1.3 Who is Using CiteSpace?
- 1.4 How should I cite CiteSpace?
- 1.5 Where Can I Learn More about CiteSpace
- 1.6 Problems, Bug Reports, or Feature Requests
- 1.7 Topics Covered in This Book
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2 How to Install and Configure CiteSpace
- 2.1 Requirements to Run CiteSpace
- 2.2 Download CiteSpace from the Web
- 2.3 How Many Records Can CiteSpace Handle?
- 2.4 Configure the Memory Allocation for CiteSpace
- 2.5 Change the Locale
- 2.6 Refresh CiteSpace
- 2.7 How to uninstall CiteSpace
- 2.8 On Mac or Unix-based Systems
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3 Get Started with CiteSpace
- 3.1 Overview
- 3.2 Launch CiteSpace
- 3.3 The Demo Projects
- 3.4 Visualizations from the Demo Projects
- 3.5 Save and Open Visualizations
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4 Work with a Data Set of Your Own
- 4.1 Collecting Data
- 4.2 Data Processing in CiteSpace
- 4.3 MySQL on localhost
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5 Configure a CiteSpace Session
- 5.1 Manage a CiteSpace Project
- 5.2 Time Slicing
- 5.3 Text Processing
- 5.4 Configure the Networks
- 5.5 Node Selection
- 5.6 Link Selection
- 5.7 Visualization Views
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6 Interacting with CiteSpace
- 6.1 How to Show or Hide Link Strengths
- 6.2 Adding a Persistent Label to a Node
- 6.3 Using Aliases to Merge Nodes
- 6.4 How to Exclude a Node from the Network
- 6.5 How to Use the Fisheye View Slider
- 6.6 How to Configure When to Calculate Centrality Scores Automatically
- 6.7 How to Save the Visualization as a PNG File
- 6.8 Filters: Match Records with Pubmed
- 6.9 How to Export Cited References to RIS or EndNote
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7 Filters and Overlays
- 7.1 Match Records with Pubmed
- 7.2 Network Overlays
- 7.3 Geographical Overlays
- 7.4 Dual-Map Overlays
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8 Text-Based Visualizations
- 8.1 Concept Trees and Predicate Trees
- 8.2 List Terms by Clumping Properties
- 8.3 Latent Semantic Analysis
- 8.4 Clustering by Bibliographic Attributes with EM
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9 Show Cases
- 9.1 String Theory
- 9.2 Terrorism Research
- 9.3 Mass Extinctions (1981-2001) and (2001-2010)
- 9.4 Structural Variation Analysis (SVA)
- 9.5 Scanning Tuneling Microscopy (1982-2016)
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10 Science Mapping (1995-2016)
- 10.1 Dataset
- 10.2 Configuration
- 10.3 Clustering
- 10.4 Labeling
- 10.5 Exploring Clusters
- 10.6 Generate Year-by-Year Cluster Labels
- 10.7 Timeline Visualization
- 10.8 Summary
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11 CrossRef
- 11.1 Metadata Search in CrossRef
- 11.2 Collecting CrossRef Data with CiteSpace
- 11.3 Filtering Records with References
- 11.4 Recovering More Details of Cited References
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12 Dimensions
- 12.1 The Dimension Search Language
- 12.2 Setup Environment Variables
- 12.3 The Dimensions Extension
- 12.4 Results
- 12.5 Cascading Citation Expansion
- 12.6 Full data Search and Title-and-Abstract Only Search
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13 The Lens
- 13.1 Search on the Lens
- 13.2 Preprocessing in CiteSpace
- 13.3 Visualizing the Dataset
- 13.4 Illustrative Examples
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Appendix List of Tools for Studying Scholarly Publications
- A.1 BibExcel
- A.2 CiteSpace
- A.3 Google Scholar
- A.4 HistCite
- A.5 IDR Users Maps
- A.6 Jigsaw
- A.7 Microsoft Academic Research
- A.8 Pajek
- A.9 Publish or Perish
- A.10 SCI2
- A.11 SCImago
- A.12 Smart Local Moving (SLM) Algorithm
- A.13 Software and Data of Leydesdorff
- A.14 VOSViewer
- A.15 Other Resources
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