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 usage.)
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 citing 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 programs BibJourn.Exe, BibCoupl.Exe and BibAuth.exe produce 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 time-consuming.
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.
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.
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 computation).
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 http://vlado.fmf.uni-lj.si/pub/networks/pajek/ ). 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 DL-format.
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