Event Detail

Event Type: 
Geometry-Topology Seminar
Monday, January 24, 2022 - 12:00 to 12:50
WB 205 & Zoom (contact guoren@oregonstate)

Speaker Info

Max-Planck Institute for Mathematics in the Sciences, Leipzig

Today we are confronted with huge and highly complex data and one main challenge is to determine the "structure" of complex networks or ''shape'' of data. In the past few years, geometric and topological methods, as powerful tools that originated from Riemannian geometry, are becoming popular for data analysis. In this seminar, after introducing Ollivier-Ricci curvature for (directed) hypergraphs, as one of the main applications, I will present the result of the implementation of this tool for the analysis of chemical reaction networks. We will see that this notion alongside Forman-Ricci curvature are powerful edge-based complementary tools for detecting some important structures in the complex network.