mapping the knowledge base of an institutionally defined document set

Loet Leydesdorff loet at LEYDESDORFF.NET
Sat Dec 23 07:03:22 EST 2006

BibJourn.exe <>
for Cocitation Analysis of Journal Names in References

This program enables one to generate a representation of the knowledge base
of a document set. This can also be used as an indicator of the knowledge
base of an institutional set, for example, by downloading the recent papers
of the authors involved. (BibJourn.exe is freely available for academic

The program uses a set saved using ISI's Web of Science as input, and
generates various forms of output:
1. cosine.dat provides an input file for Pajek as a visual representation of
the bibliographic coupling among authors within this set, but unlike
BibCoupl.exe, the representation is not in terms of the authors, but in
terms of the cited references. The matrix is normalized using the cosine.
2. coocc.dat and matrix.dbf are the files which underly cosine.dat.
Coocc.dat is the file before normalization; and matrix.dbf the asymmetrical
data matrix. The latter file can be used for statistical analysis in SPSS,
the former for graph-analytical analysis using UCINet.
3. Like ISI.EXE, the program BibCoupl.EXE produces four databases containing
the information in the original input set in relational format: au.dbf with
the authors; cs.dbf with the address ("corporate sources"); core.dbf with
information which is unique for each record (e.g., the title); and cr.dbf
containing the cited references. The files are linked through the numbers in
core.dbf. If one needs only these files, one is advised to use ISI.EXE,
since the computation of the cosine is computer intensive, and therefore
The routine creating the matrix and the cosine-normalized output uses the
journal names in the file cr.dbf as variable names, and the records in
core.dbf as the cases (rows). Only journals occurring twice among the cited
references are included. The number of journals is limited to 1024, but the
number of cited references is unlimited.
The program is based on DOS-legacy software. It runs in a MS-Dos Command Box
under Windows. The programs and the input files have to be contained in the
same folder. The output files are written into this directory. Please, note
that existing files from a previous run are overwritten by the program. The
user is advised to save output elsewhere if one wishes to continue with
these materials.
input files 
The input file has to be saved as a so-called marked list in the tagged
format from the Science Citation Index (Social Science Citation Index, Arts
& Humanities Citation Index) at the Web-of-Science. The default filename
"savedrecs.txt" should not be used, but "data.txt" instead. 
output files
The program produces four output files in dBase IV format. These files can
be read into Excel and/or SPSS for further processing. They can also be used
in MS Access for relational database management. These files can be produced
by using the simpler ISI.EXE (which is much less intensive in the
Like BibCoupl, BibJourn additionally produces two files with the extension
".dat" (cosine.dat and coocc.dat) are in DL-format (ASCII) which can be read
directly into Pajek for the visualization (Pajek is freely available at ). A number of additional
databases are coproduced:
a. matrix.dbf contains the matrix of the documents as the cases and the
journal names in the references in the set as the variables. This file can
be imported into SPSS for further analysis.
b. coocc.dbf contains a co-occurrence matrix of the journal names from this
same data. This matrix is symmetrical and it contains the journal names both
as variables and as labels in the first field. The main diagonal is set to
zero. The number of co-occurrences is equal to the multiplication of
occurrences in each of the texts. (The procedure is similar to using the
file matrix.dbf as input to the routine "affiliations" in UCINet, but the
main diagonal is here set to zero in this matrix.) The file coocc.dat
contains this information in the DL-format.
c. cosine.dbf contains a normalized co-occurrence matrix of the journal
names from the same data. Normalization is based on the cosine between the
variables conceptualized as vectors (Salton & McGill, 1983). (The procedure
is similar to using the file matrix.dbf as input to the corresponding
routing in SPSS.) The file cosine.dat contains this information in the

Click here to  <>
download BibJourn.EXE

Click here to  <>
download BibCoupl.EXE
Click here to download  <>
Click here for similar programs for Full Text and
<> Co-Word Analysis

Loet Leydesdorff 
Amsterdam School of Communications Research (ASCoR)
Kloveniersburgwal 48, 1012 CX Amsterdam
Tel.: +31-20- 525 6598; fax: +31-20- 525 3681 
 <mailto:loet at> loet at ;

Now available:
The Knowledge-Based Economy: Modeled, Measured, Simulated. 385 pp.; US$
The Self-Organization of the Knowledge-Based Society;
The Challenge of Scientometrics

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