Event № 838
Advisor: Naama Brenner
Abstract: Cellular networks exhibit pre-designed responses to many challenges, but also endow the cell with the ability to adapt and display novel phenotypes in the face of unforeseen challenges. In this seminar we will present a computational framework which attempts to describe such plasticity in random networks. We show that the convergence of this exploration in the high-dimensional space of network connections depends crucially on network topology. For large networks, convergence is most efficient for networks with scale-free out going degree distributions which are typical of cellular networks.
In order to investigate the dynamics and convergence properties of such networks we develop an approximation for scale-free networks, the STAR network, which is based on the crucial role hubs play in network dynamics.
We show that STAR networks retain many of the properties of scale-free networks and enable analytical understanding of the convergence properties exhibited in our model.