Abstract by Erik Hannesson

Personal Infomation

Presenter's Name

Erik Hannesson

Degree Level



Adam Fidler
Jordan Sellers
Ethan Walker
Ben Webb

Abstract Infomation



Faculty Advisor

Ben Webb


Network Synchronization, Structure, and Specialization


Network theory seeks to understand both the dynamics of networks and the dynamics on networks; that is, the evolution of network topology and the evolution of network states, respectively. Both topics prove complicated in their own right and are typically not considered together. Here we consider a model for network growth, called specialization, that allows us to simultaneously analyze dynamics of and dynamics on networks.


Specifically, we explore the interplay between how changing network topology alters the dynamics on the network and, in turn, how the dynamics on the network can influence change in topology. We introduce theoretical results that provide conditions guaranteeing community synchronization in specialized networks. Furthermore, we introduce closely related statistical results describing real-world networks, random networks, and specialized networks in terms of equitable partitions.