Networks and Complexity
In this episode, Kyle does an overview of the intersection of graph theory and computational complexity theory. In complexity theory, we are about the runtime of an algorithm based on its input size....
14 Jun 202517min
Graphs for Causal AI
How to build artificial intelligence systems that understand cause and effect, moving beyond simple correlations? As we all know, correlation is not causation. "Spurious correlations" can show, for ex...
24 Mai 202541min
Power Networks
16 Mai 202541min
Unveiling Graph Datasets
8 Mai 202544min
Network Manipulation
In this episode we talk with Manita Pote, a PhD student at Indiana University Bloomington, specializing in online trust and safety, with a focus on detecting coordinated manipulation campaigns on soci...
30 Apr 202540min
The Small World Hypothesis
Kyle discusses the history and proof for the small world hypothesis.
21 Apr 202517min
Thinking in Networks
Kyle asks Asaf questions about the new network science course he is now teaching. The conversation delves into topics such as contact tracing, tools for analyzing networks, example use cases, and the...
12 Apr 202533min
Fraud Networks
In this episode we talk with Bavo DC Campo, a data scientist and statistician, who shares his expertise on the intersection of actuarial science, fraud detection, and social network analytics. Togethe...
1 Apr 202542min
