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This document provides an overview of a half-day tutorial that introduces the visualization tool CiteSpace. The tutorial aims to teach participants how to use CiteSpace to explore the development of a scientific field. It covers the basic concepts, design of CiteSpace, and step-by-step demonstrations of applying it to sample datasets. CiteSpace allows interactive visualization of citation patterns, keywords, clusters, and dual maps to identify trends and landmark studies in a field. The tutorial is suitable for researchers seeking to systematically review a topic or stay up-to-date on new developments.
![Visualizing and Exploring Scientific Literature with CiteSpace
An Introduction to a half-day tutorial
Chaomei Chen
College of Computing and Informatics
Drexel University
USA
chaomei.chen@drexel.edu
ABSTRACT
This half-day tutorial aims to introduce the fundamental concepts,
principles and methods of visualizing and exploring the
development of a scientific knowledge domain. The tutorial
explains the design rationale and various applications of
CiteSpace – a freely available tool for interactive and exploratory
analysis of the evolution of a scientific domain, ranging from a
single specialty to multiple interrelated scientific frontiers. The
tutorial demonstrates the analytic procedure of applying
CiteSpace to a diverse range of examples and how one may
interpret various patterns and trends revealed by interactive visual
analytics.magnetic field, applied along the easy axis of the
elements1
.
CCS CONCEPTS
? Human-centered computing → Visual analytics; ?
Information systems → Information integration
KEYWORDS
CiteSpace, visual analytics, mapping scientific frontiers, visual
exploration of scientific literature
ACM Reference format:
C. Chen. 2018. Visualizing and exploring scientific literature with
CiteSpace: An introduction to a half-day tutorial. In Proceedings of ACM
CHIIR conference, New Brunswick, NJ, USA, March 11-15, 2018
(CHIIR’18), 2 pages.
DOI: 10.1145/3176349.3176897
1 INTRODUCTION
Permission to make digital or hard copies of all or part of this work for personal or
classroom use is granted without fee provided that copies are not made or distributed
for profit or commercial advantage and that copies bear this notice and the full
citation on the first page. Copyrights for components of this work owned by others
than the author(s) must be honored. Abstracting with credit is permitted. To copy
otherwise, or republish, to post on servers or to redistribute to lists, requires prior
specific permission and/or a fee. Request permissions from Permissions@acm.org.
CHIIR '18, March 11–15, 2018, New Brunswick, NJ, USA
? 2018 Copyright is held by the owner/author(s). Publication rights licensed to
ACM.
ACM 978-1-4503-4925-3/18/03…$15.00
https://doi.org/10.1145/3176349.3176897
This half-day tutorial aims to introduce the fundamental concepts,
principles and methods of visualizing and exploring the
development of a scientific knowledge domain. The tutorial
explains the design rationale and various applications of
CiteSpace – a freely available tool for interactive and exploratory
analysis of the evolution of a scientific domain, ranging from a
single specialty to multiple interrelated scientific frontiers [1,2,8].
The tutorial demonstrates the analytic procedure of applying
CiteSpace to a diverse range of examples and how one may
interpret various patterns and trends revealed by interactive visual
analytics.magnetic field, applied along the easy axis of the
elements.
Figure 1: A network visualization showing citation burstness
in CiteSpace.
The tutorial is suitable for anyone who is interested in learning
and applying an effective method to generate a systematic review
of the history and the state of the art of a scientific field. For
example, doctoral students may gain an insightful understanding
of a research topic by identifying landmark studies in the
development of the field, critical contributions in the past, and
potentially transformative ideas. Experienced researchers may
repeatedly apply the same procedure to keep abreast new](https://image.slidesharecdn.com/chiirfinal-180202191617/85/Chiir-final-2-320.jpg)
![WOODSTOCK’97, July 2016, El Paso, Texas USA G. Gubbiotti et al.
developments in a new field as well as in the field where they
have established expertise.
CiteSpace has been applied to the study of numerous scientific
disciplines. CiteSpace has been instrumental in revealing
insightful patterns from a set of relevant scholarly publications
(Fig. 1-5). On the other hand, users may considerably improve the
efficiency and effectiveness of the application of such a visual
analytic procedure through demonstrations and interpretations
offered by the tutorial.
Figure 2: A visualization of a tree of keywords in CiteSpace.
Figure 3: A visualization of clusters in CiteSpace.
Figure 4: A timeline visualization in CiteSpace.
Figure 5: A dual-map overlay visualization in CiteSpace [5].
The half-day tutorial first introduces the basic concepts,
relevant theories, and design rationale. Then the tutorial
demonstrates several representative cases produced by CiteSpace,
such as [3–7], so as to illustrate the breadth and depth of
CiteSpace applications. Next, the tutorial guides the participants
through step-by-step demonstrations from retrieving the initial
input data to interpreting and summarizing the findings. On
completion of the tutorial, participants should be able to apply the
procedure to a domain of their own choice.
ACKNOWLEDGMENTS
This work was partially supported by the Science of Science and
Innovation Policy (SciSIP) Program of the National Science
Foundation (#1633286). .
REFERENCES
[1] Chen, C. (2017). Science Mapping: A Systematic Review of the Literature.
Journal of Data and Information Science, 2(2), 1–40. DOI: 10.1515/jdis-2017-
0006
[2] Chen, C. (2016) CiteSpace: A Practical Guide for Mapping Scientific
Literature. Nova Publishers. ISBN: 978-1-53610-280-2.
[3] Chen, C., Dubin, R., Kim, M. C. (2014) Emerging trends and new developments
in regenerative medicine: A scientometric update (2000-2014). Expert Opinion
on Biological Therapy, 14 (9), 1295-1317.
[4] Chen, C., Dubin, R., Kim, M. C. (2014) Orphan drugs and rare diseases: A
scientometric review (2000-2014). Expert Opinion on Orphan Drugs, 2(7), 1-16.
[5] Chen, C., Leydesdorff, L. (2014) Patterns of connections and movements in
dual-map overlays: A new method of publication portfolio analysis.Journal of
the American Society for Information Science and Technology, 65(2), 334-351.
[6] Chen, C., Hu, Z., Liu, S., Tseng, H. (2012) Emerging trends in regenerative
medicine: A scientometric analysis in CiteSpace. Expert Opinions on Biological
Therapy, 12(5), 593-608.
[7] Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010) The structure and dynamics of
co-citation clusters: A multiple-perspective co-citation analysis. Journal of the
American Society for Information Science and Technology, 61(7), 1386-1409.
DOI: 10.1002/asi.21309.
[8] Chen, C. (2006) CiteSpace II: Detecting and visualizing emerging trends and
transient patterns in scientific literature. Journal of the American Society for
Information Science and Technology, 57(3), 359-377.
2
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- 2. Visualizing and Exploring Scientific Literature with CiteSpace An Introduction to a half-day tutorial Chaomei Chen College of Computing and Informatics Drexel University USA chaomei.chen@drexel.edu ABSTRACT This half-day tutorial aims to introduce the fundamental concepts, principles and methods of visualizing and exploring the development of a scientific knowledge domain. The tutorial explains the design rationale and various applications of CiteSpace – a freely available tool for interactive and exploratory analysis of the evolution of a scientific domain, ranging from a single specialty to multiple interrelated scientific frontiers. The tutorial demonstrates the analytic procedure of applying CiteSpace to a diverse range of examples and how one may interpret various patterns and trends revealed by interactive visual analytics.magnetic field, applied along the easy axis of the elements1 . CCS CONCEPTS ? Human-centered computing → Visual analytics; ? Information systems → Information integration KEYWORDS CiteSpace, visual analytics, mapping scientific frontiers, visual exploration of scientific literature ACM Reference format: C. Chen. 2018. Visualizing and exploring scientific literature with CiteSpace: An introduction to a half-day tutorial. In Proceedings of ACM CHIIR conference, New Brunswick, NJ, USA, March 11-15, 2018 (CHIIR’18), 2 pages. DOI: 10.1145/3176349.3176897 1 INTRODUCTION Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. CHIIR '18, March 11–15, 2018, New Brunswick, NJ, USA ? 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. ACM 978-1-4503-4925-3/18/03…$15.00 https://doi.org/10.1145/3176349.3176897 This half-day tutorial aims to introduce the fundamental concepts, principles and methods of visualizing and exploring the development of a scientific knowledge domain. The tutorial explains the design rationale and various applications of CiteSpace – a freely available tool for interactive and exploratory analysis of the evolution of a scientific domain, ranging from a single specialty to multiple interrelated scientific frontiers [1,2,8]. The tutorial demonstrates the analytic procedure of applying CiteSpace to a diverse range of examples and how one may interpret various patterns and trends revealed by interactive visual analytics.magnetic field, applied along the easy axis of the elements. Figure 1: A network visualization showing citation burstness in CiteSpace. The tutorial is suitable for anyone who is interested in learning and applying an effective method to generate a systematic review of the history and the state of the art of a scientific field. For example, doctoral students may gain an insightful understanding of a research topic by identifying landmark studies in the development of the field, critical contributions in the past, and potentially transformative ideas. Experienced researchers may repeatedly apply the same procedure to keep abreast new
- 3. WOODSTOCK’97, July 2016, El Paso, Texas USA G. Gubbiotti et al. developments in a new field as well as in the field where they have established expertise. CiteSpace has been applied to the study of numerous scientific disciplines. CiteSpace has been instrumental in revealing insightful patterns from a set of relevant scholarly publications (Fig. 1-5). On the other hand, users may considerably improve the efficiency and effectiveness of the application of such a visual analytic procedure through demonstrations and interpretations offered by the tutorial. Figure 2: A visualization of a tree of keywords in CiteSpace. Figure 3: A visualization of clusters in CiteSpace. Figure 4: A timeline visualization in CiteSpace. Figure 5: A dual-map overlay visualization in CiteSpace [5]. The half-day tutorial first introduces the basic concepts, relevant theories, and design rationale. Then the tutorial demonstrates several representative cases produced by CiteSpace, such as [3–7], so as to illustrate the breadth and depth of CiteSpace applications. Next, the tutorial guides the participants through step-by-step demonstrations from retrieving the initial input data to interpreting and summarizing the findings. On completion of the tutorial, participants should be able to apply the procedure to a domain of their own choice. ACKNOWLEDGMENTS This work was partially supported by the Science of Science and Innovation Policy (SciSIP) Program of the National Science Foundation (#1633286). . REFERENCES [1] Chen, C. (2017). Science Mapping: A Systematic Review of the Literature. Journal of Data and Information Science, 2(2), 1–40. DOI: 10.1515/jdis-2017- 0006 [2] Chen, C. (2016) CiteSpace: A Practical Guide for Mapping Scientific Literature. Nova Publishers. ISBN: 978-1-53610-280-2. [3] Chen, C., Dubin, R., Kim, M. C. (2014) Emerging trends and new developments in regenerative medicine: A scientometric update (2000-2014). Expert Opinion on Biological Therapy, 14 (9), 1295-1317. [4] Chen, C., Dubin, R., Kim, M. C. (2014) Orphan drugs and rare diseases: A scientometric review (2000-2014). Expert Opinion on Orphan Drugs, 2(7), 1-16. [5] Chen, C., Leydesdorff, L. (2014) Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis.Journal of the American Society for Information Science and Technology, 65(2), 334-351. [6] Chen, C., Hu, Z., Liu, S., Tseng, H. (2012) Emerging trends in regenerative medicine: A scientometric analysis in CiteSpace. Expert Opinions on Biological Therapy, 12(5), 593-608. [7] Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010) The structure and dynamics of co-citation clusters: A multiple-perspective co-citation analysis. Journal of the American Society for Information Science and Technology, 61(7), 1386-1409. DOI: 10.1002/asi.21309. [8] Chen, C. (2006) CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377. 2 View publication statsView publication stats