Network Analysis 1/4 - Introduction and First Visualization

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  • Опубликовано: 28 дек 2024

Комментарии •

  • @SociotechnicalSystems
    @SociotechnicalSystems 2 года назад +1

    Wonderful to see you posting more videos about network analysis! Anywhere I can be updated on workshops or lectures you conduct open to the general public? I'm a PhD student in the UK.

    • @MartinGrandjean
      @MartinGrandjean  2 года назад +1

      Hey, thank your for your kind message! This little video series is just sort of an experiment (see intersubjective-networks.github.io/dh2022/). I'll probably post more videos here in the future. To keep you updated about workshops and lectures, I'd say that my Twitter account is generally the place where I post informations (@GrandjeanMartin).

  • @trialsontrails1420
    @trialsontrails1420 Год назад

    Thank you for the video. I am an R user and thinking about switching to Gephi after watching your video. It seems that Gephi is a more powerful tool than R in terms of network visualization. It handles much more data volume than R. I would like to what PC configurations you use to handle this much data in Gephi. Thanks again.

    • @MartinGrandjean
      @MartinGrandjean  Год назад

      Hi, thank you for your comment! Gephi is a great tool, but I'm not sure it's really more powerful than R in all situations. Its real advantage is the graphical interface and the fact that you can see at every step what you're doing (so there's a real heuristic in using Gephi). If you're working with large volumes of data, you need to disable visualization while the software is calculating the layout, otherwise it may take a very long time to display all the intermediate positions. I don't have the exact data in my head, but my impression is that on a standard configuration, like laptop with 16GB of memory, you can handle networks of over 100,000 nodes/100,000 edges without too much trouble (my maximum is approx. 500,000 edges, but it took a while).