Center for Applied Mathematics Colloquium
Networks arise pervasively in biology, physics, technology, social science, and myriad other areas. Traditionally, a network is modeled as a graph and consists of a time-independent collection of entities (the nodes) that interact with each other via a single type of edge. However, most networks include multiple types of connections (which could represent, for example, different modes of transportation), multiple subsystems, and nodes and/or edges that change in time. The study of "multilayer networks", which is perhaps the most popular area of network science, allows one to investigate networks with such complexities. In this talk, I'll give an introduction to multilayer networks and their applications. I will also briefly discuss research projects on which I collaborated with fellow Cornell PhD students from my era.