Jc. Dore et al., CORRESPONDENCE FACTOR-ANALYSIS OF THE PUBLICATION PATTERNS OF 48 COUNTRIES OVER THE PERIOD 1981-1992, Journal of the American Society for Information Science, 47(8), 1996, pp. 588-602
Citations number
42
Categorie Soggetti
Information Science & Library Science","Information Science & Library Science
This study illustrates the application of a descriptive multivariate s
tatistical method, Correspondence Factorial Analysis (CFA), to the ana
lysis of a dataset of over 6 million bibliometric entries (data from I
SI). CFA is used to show how the 48 most prolific nations stand in rel
ation to each with regard to their publication interests in 17 specifi
c disciplinary areas and one multidisciplinary field over the period 1
981-1992. The output of a CFA is a map displaying proximity among vari
ables (countries and disciplines) and constitutes an impartial working
document for experts interested in the evaluation of science. The pre
sent study focuses on three aspects of a CFA: (1) The normalized ''pub
lication patterns'' of countries with a common feature (e.g., that bel
ong to the same geopolitical zone, economic union, etc.) can be pooled
in order to highlight the position of the union with respect to indiv
idual countries; (2) complex CFA maps can be simplified by selecting r
eference countries or disciplines and observing how the remaining coun
tries and disciplines relate to these references; (3) data on addition
al countries (new publication profiles) or on additional variables (e.
g., socio-economic data on all the countries under study) can be intro
duced into the CFA maps used as mathematical models. Our CFA of the IS
I dataset reveals the scientific interests of nations in relative term
s. The main cleavage (the first factorial axis) is between countries t
hat still concentrate on the disciplines of the industrial revolution
such as physics and chemistry (or that have turned toward their offspr
ing, materials sciences) and those that have veered toward more ''mode
rn'' disciplines such as the life sciences (e.g., clinical medicine),
the environment, and computer sciences. The second cleavage, along the
second factorial axis, is between countries that focus on the agricul
tural sciences (the land surface) and those interested in the geoscien
ces (the sea, earth's mantle, and mining). The third and fourth axes d
iscriminate even further between earth, life, and abstract sciences hi
ghlighting the ostensible relationship between (organic) chemistry and
all life science disciplines and between physics and disciplines rela
ted to engineering, materials sciences, etc. The CFA maps disclose the
specific behavior of each country with respect to these cleavages.