Complete graphs and bibliographic coupling: A test of the applicability of bibliographic coupling for the identification of cognitive cores on the field level

The method of bibliographic coupling in combination with the complete link cluster method was applied for mapping of the field of organic chemistry with the purpose of testing the applicability of a proposed mapping method on the field level. The method put forward aimed at the generation of cognitive cores of documents, so-called ‘bibliographic cliques’ in the network of bibliographically coupled research articles. The defining feature of these cliques is that they can be considered complete graphs where each bibliographic coupling link ties an unordered pair of documents. In this way, it was presumed that coherent groups of documents in the research front would be found and that these groups would be intellectually coherent as well. Statistical analysis and subject specialist evaluations confirmed these presumptions. The study also elaborates on the choice of observation period and the application of thresholds in relation to the size of document populations.

[1]  Ron Johnston,et al.  CO-CITATION BIBLIOMETRIC MODELING AS A TOOL FOR S&T POLICY AND R&D MANAGEMENT: ISSUES, APPLICATIONS, AND DEVELOPMENTS , 1988 .

[2]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[3]  A. F. J. Van Raan,et al.  Cognitive Resemblance and Citation Relations in Chemical Engineering Publications. , 1995 .

[4]  Bo Jarneving.  The cognitive structure of current cardiovascular research , 2004, Scientometrics.

[5]  Anthony Debons,et al.  Bibliographic coupling , 1972, J. Am. Soc. Inf. Sci..

[6]  Allan D. Pratt,et al.  A measure of class concentration in bibliometrics , 1977, J. Am. Soc. Inf. Sci..

[7]  Katherine W. McCain,et al.  Mapping authors in intellectual space: A technical overview , 1990, J. Am. Soc. Inf. Sci..

[8]  M. A. Mubeen.  Bibliographic coupling : an empirical study of economics , 1995 .

[9]  Henry G. Small,et al.  Clustering thescience citation index® using co-citations , 1985, Scientometrics.

[10]  M. M. Kessler.  Comparison of the results of bibliographic coupling and analytic subject indexing , 1965 .

[11]  A. Biglan.  The characteristics of subject matter in different academic areas. , 1973 .

[12]  B. C. Griffith,et al.  The Structure of Scientific Literatures I: Identifying and Graphing Specialties , 1974 .

[13]  Henk F. Moed,et al.  Mapping of science by combined co-citation and word analysis: II: Dynamical aspects , 1991, J. Am. Soc. Inf. Sci..

[14]  Howard D. White,et al.  Author cocitation: A literature measure of intellectual structure , 1981, J. Am. Soc. Inf. Sci..

[15]  Subir K Sen,et al.  A mathematical extension of the idea of bibliographic coupling and its applications , 1983 .

[16]  L. Hubert,et al.  Comparing partitions , 1985 .

[17]  George A. Miller,et al.  A psychological method to investigate verbal concepts , 1969 .

[18]  B. C. Griffith,et al.  The Structure of Scientific Literatures II: Toward a Macro- and Microstructure for Science , 1974 .

[19]  Wolfgang Glänzel,et al.  A new methodological approach to bibliographic coupling and its application to the national, regional and institutional level , 2005, Scientometrics.

[20]  Katherine W. McCain,et al.  Cocited author mapping as a valid representation of intellectual structure , 1986, J. Am. Soc. Inf. Sci..

[21]  B. A. Sharada,et al.  A study of bibliographic coupling in linguistic research , 1993 .

[22]  Brian Everitt,et al.  Cluster analysis , 1974 .

[23]  Olle Persson,et al.  The Intellectual Base and Research Fronts of JASIS 1986-1990 , 1994, J. Am. Soc. Inf. Sci..

[24]  W. L. Ruzzo,et al.  An empirical study on Principal Component Analysis for clustering gene expression data , 2000 .

[25]  Henk F. Moed,et al.  Mapping of Science by Combined Co-Citation and Word Analysis. I. Structural Aspects , 1991 .

[26]  M. M. Kessler.  Bibliographic coupling between scientific papers , 1963 .

[27]  O. Persson.  The intellectual base and research fronts of JASIS 1986–1990 , 1994 .

[28]  Everard Christiaan Marie Noyons,et al.  Bibliometric mapping as a science policy and research management tool , 1999 .

[29]  Ronald Rousseau,et al.  Social network analysis: a powerful strategy, also for the information sciences , 2002, J. Inf. Sci..

[30]  A. F. J. van Raan,et al.  Handbook of quantitative studies of science and technology , 1988 .

[31]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[32]  Henk F. Moed,et al.  Mapping of science by combined co-citation and word analysis. II: Dynamical aspects , 1991 .

[33]  V. Batagelj,et al.  ANALYSIS AND VISUALIZATION OF LARGE NETWORKS , 2003 .

[34]  M. M. Kessler,et al.  An experimental study of bibliographic coupling between technical papers (Corresp.) , 1963, IEEE Trans. Inf. Theory.

[35]  Arie Rip,et al.  Mapping of science: possibilities and limitations , 1988 .

[36]  William M. Rand,et al.  Objective Criteria for the Evaluation of Clustering Methods , 1971 .

[37]  M. M. Kessler,et al.  Bibliographic coupling extended in time: Ten case histories , 1963, Inf. Storage Retr..