TY  - JOUR
T1  - Comparative Analysis of the National Scientific and Educational Systems of Sub-Saharan African Countries with the Help of Open Access Sources
AU - Moskovkin, Vladimir M. AU - Tonkov, Evgeny E. AU - Balabanova, Tatyana V. AU - Munenge, Sizyoongo 
JO  - Research Journal of Applied Sciences
VL  - 9
IS  - 12
SP  - 1158
EP  - 1162
PY  - 2014
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2014.1158.1162
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2014.1158.1162
KW  - global university rankings
KW  -open access sources
KW  -comparative analysis
KW  -Sub-Saharan African countries
KW  -National scientific and educational systems
KW  -ROAR
KW  -DOAJ
KW  -SCIMAGO
KW  -webometrics
KW  -QS
KW  -SIR
KW  -URAP
AB  - On the basis of open access sources, the methodology of comparative analysis of the national scientific and educational systems was elaborated. It has been verified for example on the countries of Sub-Saharan Africa. Based on open access data matrix (N<SUB>ij</SUB>) with a dimension (m&times;n) is constructed. In which N<SUB>ij</SUB> represents the number of objects (Universities, Research Centers, OA repositories, OA journals, Scopus journals) of ith country, belonging ith objects type, m is the number of countries, n is the number of objects type. With the aim of clustering Sub-Saharan African countriesin terms of the degree of the development of their scientific and educational potential based on the matrix (N<SUB>ij</SUB>), we introduced an integral indicator in form of a vector <img src="http://docsdrive.com/images/medwelljournals/rjasci/2014/img2-2k14-1158-1162.gif" width="16" height="16" align="absmiddle" />=(N<sub>i</sub>, n<sub>i</sub>) where N<SUB>i</SUB> = <img src="http://docsdrive.com/images/medwelljournals/rjasci/2014/img1-2k14-1158-1162.gif" width="28" height="23" align="absmiddle" /> is the number of non-zero elements in the ith line of matrix (N<SUB>ij</SUB>). Coordinate N<SUB>i</SUB> shows the aggregated potential of scientific and educational system in selected set of indicators and n<SUB>i</SUB> is the degree of diversification of the system. Based on the calculation of the vector <img src="http://docsdrive.com/images/medwelljournals/rjasci/2014/img3-2k14-1158-1162.gif" width="18" height="17" align="absmiddle" />, we identified 7 clusters of Sub-Saharan African countries. The first two leading clusters were South Africa, Nigeria, Kenya, Tanzania, Ghana, Sudan, Ethiopia and Uganda.
ER  -