NDLI: A dynamic co-word network-related approach on the evolution of China’s urbanization research

Content Provider	Springer Nature Link
Author	Zhang, Qian Ru Li, Yue Liu, Jia Shu Chen, Yi Dan Chai, Li He
Copyright Year	2017
Abstract	In recent years, China’s urbanization has developed very quickly. Many scholars have conducted China’s urbanization research (CUR) and have published a large number of articles. With CUR as a case, we construct the dynamic co-word network to analyze the characteristics of development about the knowledge system (KS). We draw several conclusions from this research. (1) The development of CUR possesses small-world characteristics and scale-free effects. The co-word network of CUR increases significantly to a large-scale network. (2) Betweenness centrality and eigenvector centrality of the dynamic co-word networks positively correlate with node degree. The popular nodes connecting with a large number of topics are also the nodes that occur in the critical paths. The popular keywords in CUR also bridge distant clusters of the related topics. (3) The clustering coefficients indicate that a number of topics with low degrees tend to relate to the adjacent topics more directly to form “conglobation” clusters. The network is a hierarchical clustered structure. The hub keywords play a crucial role in bridging distinct clusters of highly associated keywords and make them form an integrated network. (4) Since 2003, the CUR has begun to develop systematically. From 1998 to 2015, the hotspots in CUR varied diversely, which are highly correlated with social issues and public concerns. (5) We proposed several practical implications on the development of CUR from the dynamic co-word network measures. Beyond the case of CUR’s KS, we hope the versatility of methods in this research also provides enlightenment for other KS studies.
Starting Page	1623
Ending Page	1642
Page Count	20
File Format	PDF
ISSN	01389130
Journal	Scientometrics
Volume Number	111
Issue Number	3
e-ISSN	15882861
Language	English
Publisher	Springer Netherlands
Publisher Date	2017-02-28
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Knowledge system (KS) Co-word network China’s urbanization research (CUR) Scale-free network Small-world network Information Storage and Retrieval Library Science
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks

Structure and evolution of co-authorship network in an interdisciplinary research field

Social networks in marketing research 2001–2014: a co-word analysis

Evolution and structure of scientific co-publishing network in Korea between 1948–2011

Mapping knowledge domains of Chinese digital library research output, 1994–2010

Research on the semantic-based co-word analysis

A bibliometric study of China’s science and technology policies: 1949–2010

Small-world phenomenon of keywords network based on complex network

The organization of scientific knowledge: the structural characteristics of keyword networks

A dynamic co-word network-related approach on the evolution of China’s urbanization research

Similar Documents

Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks

Structure and evolution of co-authorship network in an interdisciplinary research field

Social networks in marketing research 2001–2014: a co-word analysis

Evolution and structure of scientific co-publishing network in Korea between 1948–2011

Mapping knowledge domains of Chinese digital library research output, 1994–2010

Research on the semantic-based co-word analysis

A bibliometric study of China’s science and technology policies: 1949–2010

Small-world phenomenon of keywords network based on complex network

The organization of scientific knowledge: the structural characteristics of keyword networks

A dynamic co-word network-related approach on the evolution of China’s urbanization research