Abstract

In this talk, I will introduce the basic definitions in graph theory and some of its applications in diverse fields of science. After that, we will move toward a meta-population model of COVID-19 and its control strategy. I will also discuss a network-based epidemic spread model and vaccination strategies. Further, I will introduce a newly developed epidemic-spreading model drawing inspiration from opinion dynamics and also discuss several control strategies. Now, switching gears I will show a mass-transfer model in a Rock-Paper-Scissor 2D lattice and discuss phase transition. Then I will move towards representing the brain in a network setting and discuss above establishing connection between brain structure and function. Next up, I will briefly present ecological networks of antagonism and mutualism and several network characteristics and trait evolution dynamics. Finally, I will mention network economics and my most recent encounters in trade networks and infrastructure development. In this whole talk, I will mainly talk about my several research works (both published or ongoing) to give a flavour of network science.

This talk was organized in collaboration with Biome and Gluon.

About the Speaker

Sourin Chatterjee is a fifth year BS-MS student, Department of Mathematics and Statistics, IISER Kolkata.

Poster for the event, designed by Abhisruta Maity.