A Comparison of Two Techniques for Bibliometric Mapping: Multidimensional Scaling and VOS

被引:593
作者
van Eck, Nees Jan [1 ,2 ]
Waltman, Ludo [1 ,2 ]
Dekker, Rommert [2 ]
van den Berg, Jan [3 ]
机构
[1] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands
[2] Erasmus Univ, Erasmus Sch Econ, Inst Econometr, NL-3000 DR Rotterdam, Netherlands
[3] Delft Univ Technol, Fac Technol Policy & Management, Sect ICT, NL-2600 AA Delft, Netherlands
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2010年 / 61卷 / 12期
关键词
AUTHOR COCITATION ANALYSIS; INFORMATION-SCIENCE; COOCCURRENCE DATA; MAPS; REPRESENTATIONS; COLLABORATION; VISUALIZATION; ALGORITHM;
D O I
10.1002/asi.21421
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
VOS is a new mapping technique that can serve as an alternative to the well-known technique of multidimensional scaling (MDS). We present an extensive comparison between the use of MDS and the use of VOS for constructing bibliometric maps. In our theoretical analysis, we show the mathematical relation between the two techniques. In our empirical analysis, we use the techniques for constructing maps of authors, journals, and keywords. Two commonly used approaches to bibliometric mapping, both based on MDS, turn out to produce maps that suffer from artifacts. Maps constructed using VOS turn out not to have this problem. We conclude that in general maps constructed using VOS provide a more satisfactory representation of a dataset than maps constructed using well-known MDS approaches.
引用
收藏
页码:2405 / 2416
页数:12
相关论文
共 57 条
[1]   Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient [J].
Ahlgren, P ;
Jarneving, B ;
Rousseau, R .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2003, 54 (06) :550-560
[2]  
[Anonymous], 2001, MULTIDIMENSIONAL SCA
[3]   Changes in the LIS research front:: Time-sliced cocitation analyses of LIS journal articles, 1990-2004 [J].
Astrom, Fredrik .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2007, 58 (07) :947-957
[4]   Laplacian eigenmaps for dimensionality reduction and data representation [J].
Belkin, M ;
Niyogi, P .
NEURAL COMPUTATION, 2003, 15 (06) :1373-1396
[5]   Differentiating, describing, and visualizing scientific space: A novel approach to the analysis of published scientific abstracts [J].
Blatt, Eli M. .
SCIENTOMETRICS, 2009, 80 (02) :385-406
[6]  
Borg I., 2005, Modern multidimensional scaling: theory and applications
[7]   Visualizing knowledge domains [J].
Börner, K ;
Chen, CM ;
Boyack, KW .
ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, 2003, 37 :179-255
[8]   Mapping the backbone of science [J].
Boyack, KW ;
Klavans, R ;
Börner, K .
SCIENTOMETRICS, 2005, 64 (03) :351-374
[9]   INEQUALITIES AND POSITIVE-DEFINITE FUNCTIONS ARISING FROM A PROBLEM IN MULTIDIMENSIONAL-SCALING [J].
BUJA, A ;
LOGAN, BF ;
REEDS, JA ;
SHEPP, LA .
ANNALS OF STATISTICS, 1994, 22 (01) :406-438
[10]   The Structure and Dynamics of Cocitation Clusters: A Multiple-Perspective Cocitation Analysis [J].
Chen, Chaomei ;
Ibekwe-SanJuan, Fidelia ;
Hou, Jianhua .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2010, 61 (07) :1386-1409