How to extract and visualize a scientometrics network Go back to the news...

A handy video tutorial explaining how to extract (from Scopus), convert (with Table2Net) and visualize (with Gephi) a nice scientometrics network.
The result is a bi-partite network in which the nodes are the authors of the papers extracted from Scopus and keywords associated to those papers. A keyword is connected to an author if she/he has use it in one of her/his articles.


  1. simon

    Is table2net allows to manage the case sensivity ?
    I mean an imported ID code like a0Mb0000003V4jB became a0mb0000003v4jb in the generated gexph…
    How can we figure out this problem ?

  2. Mathieu Jacomy

    Dear Simon,

    Table2Net automatically removes spaces before and after strings, and transforms everything in lower case. We chose this design because it prevents many unwanted mistakes from beginners. If you want to use this tool as it is, you have to take it in account. Alternatively you can clone the repository and edit the code to make it fill your requirements. Relevant code lines:

    All the best

  3. Diego Reyes

    Bonjour Mathieu, i would like to use gephi to obtain a net of the Most cited authors from a Scopus csv file. I´ve find problems (table2net) when i choose “authors” and then sepparated by commas, because i´ve obtained things like “.b” or “.a” (dot and a word, the first names of authors), so my network node are just a word, not the entire name/surname of the authors.Hope you can help me, Kind regards.
    Diego Reyes/Argentina

  4. Pingback: The history of journalism research in just 5 networks – Thoughts & Stuff

Comments are closed.