Abstract: Our life relies on many networks, from cellular networks to the brain, and from the social network to communication networks. One of the governing structural characteristics of these networks is the modular structure. They often correspond to functional units of the systems and play crucial roles. Thus, discovering such modular structures and understanding their implications has been a long-standing challenge. I will discuss how modularity can fundamentally alter how information spreads in a system, and how such an understanding can allow us to predict viral memes or design a neural network with a better memory.
Bio: Yong-Yeol (YY) Ahn is an Associate Professor at the Indiana University School of Informatics, Computing, and Engineering. He worked as a postdoctoral research associate at the Center for Complex Network Research at Northeastern University and as a visiting researcher at the Center for Cancer Systems Biology at Dana-Farber Cancer Institute after earning his Ph.D. in Statistical Physics from KAIST in 2008. His research spans Network Science, Data Science, and Computational Social Science. He develops mathematical & computational models and applies them to investigate questions from various domains such as sociology, health, economics, and culture. He is a recipient of several awards including Microsoft Research Faculty Fellowship and LinkedIn Economic Graph Challenge.