The Generation of Large Networks from Web-of-Science Data; preprint version

Loet Leydesdorff loet at LEYDESDORFF.NET
Thu Sep 18 02:14:49 EDT 2014

The Generation of Large Networks from Web-of-Science Data

Loet Leydesdorff, Gohar Feroz Khan, and Lutz Bornmann


During the 1990s, one of us developed a series of freeware routines
( that enable the user to organize
downloads from the Web-of-Science (Thomson Reuters) into a relational
database, and then to export matrices for further analysis in various
formats (for example, for co-author analysis). The basic format of the
matrices displays each document as a case in a row that can be attributed
different variables in the columns. One limitation to this approach was
hitherto that relational databases typically have an upper limit for the
number of variables, such as 256 or 1024. In this brief communication, we
report on a way to circumvent this limitation by using txt2Pajek.exe,
available as freeware from


(Submitted on 17 Sep 2014; available at

.        apologies for cross-postings.



Loet Leydesdorff 

University of Amsterdam
Amsterdam School of Communications Research (ASCoR)

 <mailto:loet at> loet at ;
Honorary Professor,  <> SPRU, University of

Guest Professor  <> Zhejiang Univ., Hangzhou;
Visiting Professor,  <> ISTIC,

Visiting Professor,  <> Birkbeck, University of London;



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