Note I've made another video called "Collect, Process, Visualize - Programming Social Graphs (Instagram, Python, Gephi)" that you might find interesting ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-CgHDt_aKyCc.html.
The modularity on this video is crazy high - that is, the content and production quality is massively higher than the view and subscriber count! Something very interesting is going on here.
This video is so great that I learned so much more than reading PPTs of lecture slides. Plus how things progress logically makes it so enjoyable. I wish more people can find this video.
Finally, it's out there ;) Read the description to find many useful further resources. By the way, I make music too, check it out here: ru-vid.com or on Spotify, Tidal etc. (search for "Splines")
Thank you so much for your efforts. I was struggling with understanding this topic for more than two weeks and thanks to you I can finally understand a lot these concepts clearly
Yes, indeed. If the underlying data is directed, you get better results by using a slightly altered modularity formula for directed graphs. From what we've derived in the video, it's not far to get there. But oftentimes, there's no directionality data available, in which case we would use the exact formula discussed in this video.
