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Update based on JCR 2019 data.

 

As previously, one saves “analyze.txt” in the same folder on a disk as:

 

1.      wc19.exe

2.      cosine.dbf

3.      cosmap.dbf

4.      cos19map.txt --  basemap JCR 2019 data

5.      cos19net.txt – network data JCR 2019

 

Run wc19.exe in the presence of these files and “analyze.txt” for any retrieval from WoS.

 

Output:

 

1.      cor19map.txt and core19net.txt can be used as input files in VOSviewer for generating a global network based pm 229 WCs and JCR 2019 data..

2.      Vos2.txt can be used instead or cos19map.txt for mapping the information in nalyze.txt. One can additionally load cos19net.txt into VOSViewer as the network file.

3.      In order to obtain layout similar to the  basemap, update the layout and clustering within VOSviewer.

4.      Diversity, interdisciplinarity, and synergy  scores are stored in div_wc19.dbf for each run. .

 

For example. Based pm 361 papers (co-) authored by me (L.), I obtain analyze.txt as follows:

 

Web of Science Categories             records  % of 361

INFORMATION SCIENCE LIBRARY SCIENCE          249        68.975

COMPUTER SCIENCE INTERDISCIPLINARY APPLICATIONS             133             36.842

COMPUTER SCIENCE INFORMATION SYSTEMS    93          25.762

MANAGEMENT   33          9.141

SOCIAL SCIENCES INTERDISCIPLINARY  22          6.094

MULTIDISCIPLINARY SCIENCES  14          3.878

COMMUNICATION           12          3.324

REGIONAL URBAN PLANNING      9            2.493

 

The result is:

 

 

 

From div_wc.dbf, one can obtain the following values for parameters:

name of the sample	diversity meaures
Rao-Stirling diversity	0.558
True diversity	2.263
DIV	0.005
DIV*	1.218
Gini-index	0.966
Simpson	0.786
Shannon entropy	3.094
H(max); Shannon	9.347
Vaiety	0.183
Disparitgy	0.851
Perc. H(max)	33.108
N of WCs	229.000
N of WC u included in this sample	42.000

 

Loet Leydesdorff

Amsterdam, 14 Jauary 2021