Details

Chrysafis Vogiatzis, a finalist for a tenure-track faculty position in the Department of Mathematics, will deliver the lecture

“From nodal to group centrality and beyond: An overview of the state-of-the-art and future directions”

Abstract

Centrality is probably the most well-studied network analysis metric out there. Over the years, centrality has been used as a proxy of importance in settings as diverse as transportation, biological, and social networks. In the last decade, we are observing a move away from nodal metrics, which assign importance to a node alone, and towards group metrics, which consider collections of nodes. It is often desirable for these groups to induce specific structures or motifs, depending on the application or context. Chrysafis Vogiatzis will present an overview of the state-of-the-art and its fast evolution within the operations research and network optimization communities. Then, Vogiatzis will talk about future exciting directions, including the limited availability of stochastic metrics, new structures and emerging applications that can take advantage of the proposed metrics. Vogiatzis will finish this presentation with his contributions to stochastic variants of group centrality with an application to protein-protein interaction networks.