Petter Holme, Temporal networks connecting the structure and function of socioeconomic systems

Abstract:

Network science has developed into an essential interdisciplinary framework for discovering patterns in data, finding important nodes and edges, determining how to improve the resilience of systems, etc. Sometimes one knows not only what pairs of nodes are in contact but also when the contacts happen. To include such information about the timing of events can make predictions more accurate and analyses more explanatory. However, it comes with a cost — analyzing temporal networks is a vastly different endeavor from analyzing regular (static) networks. I will review the recent developments in temporal network methods and present my research in the area — focusing on models of spreading phenomena on empirical networks of human proximity.

Bio:

Petter Holme is a Specially Appointed Professor at the World Research Hub Initiative, Institute of Innovative Research, Tokyo Institute of Technology. His research concerns networks, ranging from data-driven topics about social, biological, and technological systems, to theoretical questions. In the last decade, he has been very interested in integrating temporal information into network modeling. Before joining the Tokyo Institute of Technology, Holme was a professor at Sungkyunkwan University, Korea. Prof. Holme has co-authored over 150 research papers. He has a Ph.D. in Theoretical Physics from Umeå University, Sweden, but has also been a postdoc and faculty member of the computer science department.