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 th...
Actantial Networks
In this episode, listeners will learn about Actantial Networks—graph-based representations of narratives where nodes are actors (such as people, insti...
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...
Power Networks
Unveiling Graph Datasets
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 de...
The Small World Hypothesis
Kyle discusses the history and proof for the small world hypothesis.
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 ...
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, frau...
Criminal Networks
In this episode we talk with Justin Wang Ngai Yeung, a PhD candidate at the Network Science Institute at Northeastern University in London, who explor...