Mind the geekConference50min
Visualizing social networks at planetary scale, one billion pixels at a time
This talk explores advanced graph theory techniques for analyzing massive social media networks, highlighting technical challenges of visualizing graphs with over 10 million nodes. It presents innovative solutions, including GPU-based algorithms, to overcome memory and processing limitations and enable unprecedented large-scale graph visualization and social dynamics analysis.
Mathis HammelAgoratlas
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Wednesday, October 8, 12:00-12:50
BOF 2
Social media has completely transformed how humans interact and how information spreads.
In order to understand social dynamics and expose large-scale manipulation campaigns, graph theory provides amazing tools to analyze and visualize huge networks. However, any scale beyond 10 million nodes comes with a set of fascinating technical challenges that are very hard to overcome.
If you're curious about images that can't fit in 200GB of memory, or how to run an algorithm on GPU because CPU isn't fast enough, you will enjoy this! In this talk, you'll discover the creative solutions we're developing to progressively break the barrier and explore a scale of graph visualization nobody has seen before.
In order to understand social dynamics and expose large-scale manipulation campaigns, graph theory provides amazing tools to analyze and visualize huge networks. However, any scale beyond 10 million nodes comes with a set of fascinating technical challenges that are very hard to overcome.
If you're curious about images that can't fit in 200GB of memory, or how to run an algorithm on GPU because CPU isn't fast enough, you will enjoy this! In this talk, you'll discover the creative solutions we're developing to progressively break the barrier and explore a scale of graph visualization nobody has seen before.
Mathis Hammel
Mathis Hammel is the CTO of Agoratlas, a data analysis startup specialized in mapping social media at planetary scale. He specializes in a wide range of technical fields, from algorithms and AI to cybersecurity.
Mathis is passionate about technical challenges and holds several titles from international programming and hacking competitions, along with professional awards from Google (GDE) and Microsoft (MVP).
Mathis is passionate about technical challenges and holds several titles from international programming and hacking competitions, along with professional awards from Google (GDE) and Microsoft (MVP).
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