Science Mapping: A Systematic Review of the Literature

Chaomei Chen

Open Access

Science Mapping: A Systematic Review of the Literature

Chaomei Chen

| Mar 21, 2017

Journal of Data and Information Science

Volume 2 (2017): Issue 2 (May 2017)

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Published Online: Mar 21, 2017

Page range: 1 - 40

Received: Jan 30, 2017

Accepted: Feb 20, 2017

DOI: https://doi.org/10.1515/jdis-2017-0006

Keywords
Science mapping, Knowledge domain visualization, Domain analysis, Systematic review, CiteSpace

© 2017 Chaomei Chen

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Topic search queries used for data collection.

The distribution of the bibliographic records in Set #14.

A dual-map overlay of the science mapping literature.

A hierarchy of index terms derived from Set #14.

49 references with citation bursts of at least 5 years.

A landscape view of the co-citation network, generated by top 100 per slice between 1995 and 2016 (LRF = 3, LBY = 8, and e = 1.0).

A timeline visualization of the largest clusters of the total of 603 clusters.

A hierarchy of key concepts selected from citing articles of Cluster #0 by log-likelihood ratio test.

Top 20 most cited references in the largest cluster.

Major citing articles to the largest cluster.

A hierarchy of key concepts in Cluster #1.

Key members of Cluster #1, sorted by sigma.

A hierarchy of key concepts in Cluster #2.

A hierarchy of key concepts in Cluster #3.

Novel co-citations made by 8 papers of White (left) and by 14 papers of Thelwall (right).

Three examples of articles with high modularity change rates: 1) (Waltman, 2016), 2) (Zupic, 2015), and 3) (Zhu et al., 2015).

Stars indicate articles that are both cited and citing articles. Dashed lines indicate novel co-citation links. Illustrated based on 15 papers of the author’s own publications.

Citation trajectories of Howard White’s publications and their own locations.

Novel links made by a review paper of informetrics (Bar-Ilan, 2008).

Potentially transformative papers published in recent years (2012–2016).

Year	ΔM	ΔCL_W	C_KL	Geometric Mean	GC	Title	Reference
2016	6.0541	0.0152	0.0251	0.1322	5	A review of the literature on citation impact indicators	(Waltman, 2016)
2016	0.9235	0.0019	0.3407	0.0842	0	How are they different? A quantitative domain comparison of information visualization and data visualization (2000–2014)	(Kim, Zhu, & Chen, 2016)
2016	0.8207	0.0017	0.0640	0.0447	2	A bibliometric analysis of 20 years of research on software product lines	(Heradio et al., 2016)
2015	1.7498	0.0073	0.0380	0.0786	0	Global ontology research progress: A bibliometric analysis	(Zhu et al., 2015)
2015	1.9873	0.0052	0.0397	0.0743	9	Bibliometric methods in management and organization	(Zupic, 2015)
2015	1.9906	0.0029	0.0238	0.0516	13	A review of theory and practice in scientometrics	(Mingers & Leydesdorff, 2015)
2014	1.6240	0.0087	0.0434	0.0850	3	Research dynamics: Measuring the continuity and popularity of research topics	(Yan, 2014)
2014	1.1837	0.0031	0.0463	0.0554	1	Making a mark: A computational and visual analysis of one researcher’s intellectual domain	(Skupin, 2014)
2014	0.4462	0.0024	0.0270	0.0307	12	The knowledge base and research front of information science 2006–2010: An author cocitation and bibliographic coupling analysis	(Zhao & Strotmann, 2014)
2013	2.5398	0.0112	0.0643	0.1223	13	Analysis of bibliometric indicators for individual scholars in a large data set	(Radicchi & Castellano, 2013)
2013	1.0781	0.0065	0.2180	0.1152	6	A visual analytic study of retracted articles in scientific literature	(Chen et al., 2013)
2013	1.7978	0.0064	0.0542	0.0854	24	Quantitative evaluation of alternative field normalization procedures	(Li et al., 2013)
2012	3.6274	0.0107	0.0811	0.1466	29	SciMAT: A new science mapping analysis software tool	(Cobo et al., 2012)
2012	3.4380	0.0248	0.0259	0.1302	15	A forward diversity index	(Carley & Porter, 2012)
2012	1.0719	0.0032	0.0321	0.0479	11	Visualizing and mapping the intellectual structure of information retrieval	(Rorissa & Yuan, 2012)

Temporal properties of major clusters.

Cluster ID	Size	Silhouette	From	To	Duration	Median	Sustainability	Activeness	Theme
0	214	0.748	1995	2015	21	2006	++++++	Active	Science mapping
1	209	0.765	1990	2006	17	1997	++	Inactive	Domain analysis
2	190	0.845	2000	2015	16	2009		Active	Research evaluation
3	160	0.954	1996	2014	19	2005	++++	Active	Information visualization / Visual analytics
4	152	0.890	1988	1999	12	1993		Inactive	Applications of ACA
6	125	0.925	1995	2006	12	2001		Inactive	Webometrics
8	93	0.882	1994	2010	17	2002	++	Inactive	Bibliometric studies of social work in health
11	48	0.965	1994	2006	13	2000		Inactive	Bibliometric studies of management research
12	44	0.966	1990	1999	10	1996		Inactive	Graph visualization
16	29	0.977	1999	2007	9	2003		Inactive	Bibliometric studies of information systems
28	15	0.995	2004	2013	10	2008		Inactive	Global trend; Water resources

The five largest clusters of co-cited references of the network of 3,145 references. The largest three connected components include 1,729 of the references.

Cluster	Size	Mean (year)	Silhouette	% of the network	Accumulated % of the network	% of top 3 LCCs	Accumulated % of LCCs
0	214	2006	0.748	4.5	4.5	8.1	8.1
1	209	1997	0.765	2.3	6.7	4.1	12.2
2	190	2009	0.845	3.3	10.0	6.0	18.2
3	160	2005	0.954	2.9	12.9	5.3	23.5
4	152	1992	0.890	1.7	14.6	3.0	26.5

eISSN:: 2543-683X
Language:: English

Publication timeframe:: 4 times per year
Journal Subjects:: Computer Sciences, Information Technology, Project Management, Databases and Data Mining

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Science Mapping: A Systematic Review of the Literature

Article Category: Expert Review

Published Online: Mar 21, 2017

Page range: 1 - 40

Received: Jan 30, 2017

Accepted: Feb 20, 2017

DOI: https://doi.org/10.1515/jdis-2017-0006

KeywordsScience mapping, Knowledge domain visualization, Domain analysis, Systematic review, CiteSpace

© 2017 Chaomei Chen

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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Potentially transformative papers published in recent years (2012–2016).

Temporal properties of major clusters.

The five largest clusters of co-cited references of the network of 3,145 references. The largest three connected components include 1,729 of the references.

Keywords
Science mapping, Knowledge domain visualization, Domain analysis, Systematic review, CiteSpace