Understanding the World through networks in time: From structuralism to graph learning
Abstract
The recursive idea that things get their functionality from how they are connected to other things connects many branches of the social, natural, and formal sciences, From the structuralism of last-century social science via network science to today’s graph-based machine learning. If one also knows when the interactions happen, one should have more information and get a better understanding of the system —but how should one extract, visualize, and theorize this type of data? I will present how these ideas have developed throughout the last 150 years and connect them to my own research on temporal networks of social interactions, human mobility, network epidemiology, link predictions, and more.
Online (Zoom)
Link to register: https://iu.zoom.us/webinar/register/WN_02hY7XPrReyAr52wGHmb6w
Short Bio
Petter Holme is a Professor of Network Science at the Department of Computer Science, Aalto University, Finland. His research concerns the modeling and analysis of networked systems, ranging from computational social science to theoretical questions. In particular, Holme had a foundational role in the study of temporal networks. Before joining Aalto University, Holme was a Specially Appointed Professor at Tokyo Institute of Technology and a Professor of Energy Science at Sungkyunkwan University, Korea. Prof. Holme has coauthored around 200 research publications and is a Fellow of the Network Science Society, class of 2024.