The generation of large networks from Web of Science data
DOI:
https://doi.org/10.3145/epi.2014.nov.05Keywords:
Web of Science, Bibliometric network, Pajek, txt2Pajek.Abstract
During the 1990s, one of us developed a series of freeware routines (http://www.leydesdorff.net/indicators) 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 http://www.pfeffer.at/txt2pajek
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Dissemination conditions of the articles once they are published
Authors can freely disseminate their articles on websites, social networks and repositories
However, the following conditions must be respected:
- Only the editorial version should be made public. Please do not publish preprints, postprints or proofs.
- Along with this copy, a specific mention of the publication in which the text has appeared must be included, also adding a clickable link to the URL: http://www.profesionaldelainformacion.com
- Only the final editorial version should be made public. Please do not publish preprints, postprints or proofs.
- Along with that copy, a specific mention of the publication in which the text has appeared must be included, also adding a clickable link to the URL: http://revista.profesionaldelainformacion.com
Profesional de la información journal offers the articles in open access with a Creative Commons BY license.
