The generation of large networks from Web of Science data

Autores/as

  • Loet Leydesdorff El profesional de la información
  • Gohar-Feroz Khan
  • Lutz Bornmann

DOI:

https://doi.org/10.3145/epi.2014.nov.05

Resumen

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

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Publicado

2014-11-10

Número

Sección

Artí­culos de investigación / Research articles

How to Cite

The generation of large networks from Web of Science data. (2014). Profesional De La información, 23(6), 589-593. https://doi.org/10.3145/epi.2014.nov.05