Covers the basics of networks, focusing on brain networks, historical breakthroughs, small-world and scale-free network discoveries, and the importance of the human connectome.
Explores the social dynamics of adoption and contagion on complex networks, emphasizing the emergence of novelties and the impact of social interactions.
Explores the role of higher-order topological properties in complex networks using topological data analysis for structural break and price anomaly detection.
Covers algorithmic paradigms for dynamic graph problems, including dynamic connectivity, expander decomposition, and local clustering, breaking barriers in k-vertex connectivity problems.
Explores Prof. Matthias Grossglauser's research journey in telecommunications and network capacity, highlighting challenges of finding him due to his constant mobility.
Delves into centrality and hubs in network neuroscience, exploring node importance, small-world networks, brain structural connectome, and percolation theory.
