Network Analysis 1/4 - Introduction and First Visualization

This video is part of an experimental process of 'double blind' network comparison which consists of giving the same dataset to two network analysts and to confront their methodological choices, results and interpretations.
In this video, I present the process and prepare the network for exploration.
Mathieu Jacomy and I have analyzed the same network separately so that we can compare how different our observations are. Check the website of the project: intersubjectiv...

[@SociotechnicalSystems]

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]

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]

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]

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).