Temporal graph motifs and how to find them: or how I inadvertently got into big data engineering

Hey NetPeople! On Thursday, April 6th, we had Naomi Arnold from Northeastern University in London as our speaker. She gave a refreshing talk titled "Temporal Graph Motifs and How to Find Them: Or How I Inadvertently Got into Big Data Engineering".

During the talk, Naomi proposed the use of temporal motif counting as a way of monitoring dark web marketplaces and their users, with a focus on the Alphabay and Hydra dark markets. 

While investigating this topic, Naomi faced many problems dealing with big data. Some of you may be familiar with memory constraints, long runtimes, difficulties in dealing with power laws, and other issues that arise when approaching big data analysis for the first time. 

Don't worry, though! Naomi proposed many solutions, starting with getting a crash course on data structures, learning how to use a code profiler, and finding a programming buddy. This could be a colleague, a more experienced programmer, or a rubber duck! 

Here you can download the Slides, and the talk is available on our Youtube Chanel. Join the discussion by leaving a comment on this thread! Blog thread (Twitter)!