In networks of interacting entities, it is common to study important (i.e., "central") entities according to various measures. Using a multilayer network formalism, I will discuss extensions of centralities to multiplex and temporal networks.
Mason Porter is a professor in the Department of Mathematics at UCLA. He earned a B.S. in Applied Mathematics from Caltech in 1998 and a Ph.D. from the Center for Applied Mathematics at Cornell University in 2002. He held postdoctoral positions at Georgia Tech, the Mathematical Sciences Research Institute, and Caltech. He joined the faculty at University of Oxford in 2007 and moved to UCLA in 2016. Mason is a Fellow of the American Mathematical Society, American Physical Society, and Society for Industrial and Applied Mathematics. In recognition of his mentoring of undergraduate researchers, Mason won the 2017 Council on Undergraduate Research (CUR) Faculty Mentoring Award in the Advanced Career Category in the Mathematics and Computer Science Division. Thus far, 24 students have completed their PhD degrees under Mason's mentorship, and Mason has also mentored several postdocs, more than 30 Masters students, and more than 90 undergraduate students on research projects. Mason's research interests lie in theory and (rather diverse) applications of networks, complex systems, and nonlinear systems.