Yang, L et al Mapping institutions and their weak ties in a research specialty: A case study of cystic fibrosis body composition research

[Eugene Garfield]

Email address: yangly at mail.las.ac.cn

Author(s): Yang, L (Yang, Liying); Morris, SA (Morris, Steven A.); Barden, 
EM (Barden, Elizabeth M.) 

Title: Mapping institutions and their weak ties in a research specialty: A 
case study of cystic fibrosis body composition research 

Editor(s): TorresSalinas, D; Moed, HF 

Source: PROCEEDINGS OF ISSI 2007: 11TH INTERNATIONAL CONFERENCE OF THE 
INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOLS I AND II 
766-775, 2007 

Language: English 

Document Type: Article 

Conference Title: 11th International Conference of the International-
Society-for-Scientrometrics-and-Informetrics 

Conference Date: JUN 25-27, 2007 

Conference Location: Madrid, SPAIN 

Conference Sponsors: Int Soc Scientrometr & Informetr, CSIC, Minist Educ & 
Ciencia, FECYT, Comunidad Madrid, Eugene Garfield Fdn, Thomson Sci, 
Elsevier, Journal Informetr, Scopus, Ayuntamiento Madrid, Sci Metrix, Univ 
Carlos III Madrid 

Author Keywords: institutional collaboration; mapping; visualization; 
cystic fibrosis body composition
 
KeyWords Plus: RESEARCH COLLABORATION; VISUALIZATION 

Abstract: Using a collection of papers gathered from the Web of Science on 
the topic of cystic fibrosis body composition research. we demonstrate 
analysis and visualization methods that show the collaboration structure 
of institutions in the specialty and the researchers that function as weak 
ties among them. Institution names were extracted from the collection of 
papers and disambiguated using the Derwent Analytics (v1.2) software 
product. Institutions were clustered into collaboration groups based on 
their co-occurrence in papers. A crossmap of clustered institutions 
against research fronts, which were derived using bibliographic coupling 
analysis, shows the research fronts that specific institutions participate 
in, their collaborator institutions and the research fronts in which those 
collaborations occurred. A crossmap of institutions to author teams, 
derived from co-authorship analysis, reveals research teams in the 
specialty and their general institutional affiliation, and further 
identifies the researchers that function as weak ties and the institutions 
that they link. This case study reveals that the techniques introduced in 
this paper can be used to extract a large amount of useful information 
about institutions participating in a research specialty. 

Addresses: Chinese Acad Sci, Nat Sci Lib, Beijing, 100080 Peoples R China. 

Publisher Name: INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI 
Publisher Address: KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 
2, LEUVEN, B-3000, BELGIUM 

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