Introduction to network analysis on a real-world example. In this video, we will collect social data from Instagram, process it using Python and then create a graph with Gephi, an open-source graph visualization and exploration tool. I will demonstrate the whole pipeline from start to finish, so that you can easily try out your own data science experiments. In the end, we will see how to use force-directed graph layout algorithms in Gephi and how to run a modularity analysis to visualize community structures (clusters). Join me on this journey and code along 😊
🎬 Overview
00:00 Intro
02:40 Collect data from Instagram
06:15 Process data - Disassemble .HAR files
22:06 Process data - Prepare for Gephi (nodes & edges)
29:44 Visualize data in Gephi
38:33 Bonus: Put profile pictures on nodes
48:10 Outro
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📖 Want to dive in deeper?
Fast unfolding of communities in large networks (aka "Louvain-Method")
https://arxiv.org/pdf/0803.0476.pdf
Modularity and community structure in networks
https://www.pnas.org/content/pnas/103...
Maximizing Modularity is hard
https://arxiv.org/pdf/physics/0608255...
🎵 Music
Birocratic - Fresh Healthy Perspectives
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Aaron Kenny - Cocktail Hour
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E's Jammy Jams - Book Bag
John Deley and the 41 Players - Ersatz Bossa
Kevin MacLeod - Just As Soon
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Silent Partner - Bet On It
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Dan Lebowitz - Wave in the Atmosphere
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Public Memory - Landing
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