Janssens, F; Glanzel, W; De Moor, B. A hybrid mapping of information science,PROCEEDINGS OF ISSI 2007: 11TH INTL. CONF. OF THE ISSI, VOLS I AND II. 2007. p.408-420

[Eugene Garfield]

Email address: Frizo.Janssens at esat.kuleuven.be

Author(s): Janssens, F (Janssens, Frizo); Glanzel, W (Glaenzel, Wolfgang); 
De Moor, B (De Moor, Bart) 

Title: A hybrid mapping of information science 

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 
408-420, 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: mapping of science; hybrid clustering; text mining; 
fisher's inverse chi-square method; information science 

KeyWords Plus: RESEARCH-AND-DEVELOPMENT; SCIENTIFIC PAPERS; WEB; 
INDICATORS 

Abstract: Previous studies have shown that hybrid clustering methods that 
incorporate textual content and bibliometric information can outperform 
clustering methods that use only one of these components. In this paper we 
apply a hybrid clustering method based on Fisher's inverse chi-square to 
integrate full-text with citations and to provide a mapping of the field 
of information science. We quantitatively and qualitatively asses the 
added value of such an integrated analysis and we investigate whether the 
clustering outcome is a better representation of the field by comparing 
with a text-only clustering and with another hybrid method based on linear 
combination of distance matrices. Our dataset consists of almost 1000 
articles and notes published in the period 2002-2004 in 5 representative 
journals. The optimal number of clusters for the field is 5, determined by 
using a combination of distance-based and stability-based methods. Term 
networks present the cognitive structure of the field and are complemented 
by the most representative publications. Three large traditional sub-
disciplines, particularly, information retrieval, 
bibliometrics/scientometrics and more social aspects, and two smaller 
clusters about patent analysis and webometrics, can be distinguished. 

Addresses: Katholieke Univ Leuven, Dept Elect Engn ESAT SCD, Louvain, B-
3001 Belgium. 

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

Cited Reference Count: 32 

ALAVI M
Knowledge integration in virtual teams: The potential role of KMS.
J AM SOC INF SCI TEC 53 : 1029 2002  
 
 BAEZEYATES R
MODERN INFORM RETRIV : 1999   

 BATAGELJ V
Pajek - Analysis and visualization of large networks
GRAPH DRAWING 2265 : 477 2002   

 BENHUR A
PAC S BIOC 7 : 6 2002   

 BERRY MW
Using linear algebra for intelligent information retrieval
SIAM REV 37 : 573 1995   

 BRAAM RR
Mapping of Science by Combined Cocitation and Word Analysis
J AM SOC INFORM SCI 42 : 252 1991  
 
 CALADO P
Local versus global link information in the Web.
ACM T INFORM SYST 21 : 42 2003  
 
 CALADO P
Link-based similarity measures for the classification of Web documents.
J AM SOC INF SCI TEC 57 : 208 2006 
  
 DEERWESTER S
Indexing by latent semantic analysis
J AM SOC INFORM SCI 41 : 391 1990   

 DING Y
Ontology research and development. Part 1 - a review of ontology generation
J INFORM SCI 28 : 123 2002   

 DING Y
Ontology research and development. Part 2 - a review of ontology mapping 
and evolving
J INFORM SCI 28 : 375 2002   

 DUNNING T
COMPUTATIONAL LINGUI 19 : 61 1993   

 FABAPEREZ C
"Sitation" distributions and Bradford's law in a closed web space.
J DOC 59 : 558 2003   

 GLENISSON P
Combining full text and bibliometric information in mapping scientific 
disciplines
INFORM PROCESS MANAG 41 : 1548 2005   

 HATCHER E
LUCENE ACTION : 2004   

 HEDGES LV
STAT METHODS META AN : 1985 
  
 JAIN A
ALGORITHMS CLUSTERIN : 1988 
  
 JANSSENS F
Towards mapping library and information science.
INFORM PROCESS MANAG 42 : 1614 2006   

 JANSSENS F
P 1 INT C MULT INF S : 615 2006  
 
 JOACHIMS T
P ICML 01 18 INT C M : 250 2001  
 
 KAUFMAN L
FINDING GROUPS DATA : 1990   

 KESSLER MM
Bibliographic coupling between scientific papers.
AM DOC 14 : 10 1963   

 LEYDESDORFF L
Indicators of structural change in the dynamics of science: Entropy 
statistics of the SCI Journal Citation Reports 
SCIENTOMETRICS 53 : 131 2002   

 MODHA DS
ACM C HYP : 143 2000   

 MULLINS N
STRUCTURAL ANAL SCI : 81 1988   

 NIE JY
Query expansion and query translation as logical inference. 
J AM SOC INF SCI TEC 54 : 335 2003   

 PORTER MF
An algorithm for suffix stripping.
PROGRAM 14 : 130 1980   

 ROUSSEEUW PJ
Silhouettes: A graphical aid to the interpretation and validation of 
cluster analysis.
J COMPUT APPL MATH 20 : 53 1987   

 SALTON G
INTRO MODERN INFORM : 1986   

 SNIZEK WE
Textual and nontextual characteristics of scientific papers: Neglected 
science indicators.
SCIENTOMETRICS 20 : 25 1991  

VANDENBESSELAAR P
Empirical evidence of self-organization? 
J AM SOC INF SCI TEC 54 : 87 2003  
 
 WANG Y
P 11 INT C INF KNOWL : 499 2002