How to Use CiteSpace
How to Use CiteSpace
About the Book
What are the landmarks and critical paths in a field of research? What can we learn from published scholarly works? CiteSpace is designed to find answers to these questions through interactive visual explorations of actionable patterns and trends. This book explains the underlying principles and analytic processes of learning the state of the art of a field of research. The new edition is based on the CiteSpace Advanced version of 6.1.R2. Currently, it contains chapters on download and installation of the software, collecting bibliographic data from the Web of Science, CSSCI, CNKI, and PubMed, and step-by-step demonstrations of creating and interacting with visualizations of a variety of topics. Chapters on other data sources will be updated, including Scopus and Dimensions, and they will be incrementally incorporated in subsequent versions of the e-books.
About the Author
Table of Contents
-
1 What is CiteSpace for?
- 1.1 A Quick Overview
- 1.2 Typical Questions to Answer
- 1.3 How should I cite CiteSpace?
- 1.4 How Can I Learn More about CiteSpace
- 1.5 Problems, Bug Reports, or Feature Requests
- 1.7 Topics Covered in This Book
-
2 How to Download and Install CiteSpace
- 2.1 Download CiteSpace
- 2.2 Java
- 2.3 Install CiteSpace
- 2.4 How Many Records Can CiteSpace Handle?
- 2.5 Configure the Memory Allocation for CiteSpace
- 2.6 Change the Locale
- 2.7 Uninstall or Refresh CiteSpace
- 2.9 On Mac or Unix-based Systems
-
3 Get Started with CiteSpace
- 3.1 Launch CiteSpace
- 3.2 The Demo Project: Demo 1: Terrorism Research (1996-2003)
- 3.3 Interact with CiteSpace
- 3.4 Control Panel
- 3.5 Burst Detection
- 3.6 Cluster Explorer
- 3.7 Visual Encoding and Metrics
- 3.8 Automatically Generated Cluster Labels
- 3.9 Save and Open Visualizations
-
4 Work with Data from the Web of Science
- 4.1 Data Collection and My Philosophy
- 4.2 Extract Data from the Web of Science
- 4.3 Duplicate Removal
- 4.3 Visual Exploration
- 4.3 Summary
-
11 CSSCI
- 11.1 Data Format
- 11.2 Format Conversion
- 11.3 Configuring a Project with CSSCI Data
- 11.4 Document Co-Citation Analysis
- 11.5 Hybrid Networks
- 11.6 Summary
-
12 CNKI
- 12.1 Data Format
- 12.2 Data Collection from CNKI
- 12.3 Converting the Data Format
- 12.4 Configuring a Project with CNKI Data
- 12.5 Creating a Network of Co-occuring Keywords
- 12.5 Examples of Visualizations Created with CNKI Data
- 12.6 Summary
-
16 PubMed
- 16.1 Search on PubMed
- 16.2 Data Format
- 16.3 Converting PubMed Records from the NBIB Format
- 16.4 Configuring a Project with PubMed Data
- 16.5 Constructing Networks from PubMed Data
- 16.6 Creating Concept Trees with PubMed Data
- 16.7 Burst Detection with Extracted Terms
- 16.8 Summary
-
Examples of Visualizations
- Cascading Citation Expansion
- Cluster Views of a Network
- Points of Interest
- Dual-May Overlays
- Link Walkthrough
- Structural Variation Analysis
- CSSCI
- CNKI
- Timeline Views
- SVG
- Uncertainties
- Examplar Cases
- Notes
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