When
Zoom: https://arizona.zoom.us/j/83685066195
Integrating Network Science with Prediction Models
Abstract: Network Science is at the heart of some of the most revolutionary technologies of the 21st century, powering everything from Google to Facebook, Netflix, and Amazon. Networks permeate science, technology, business, and nature to a large extent. Modeling of large networks, with millions of nodes and billions of links, is a useful way to reveal interesting insights into underlying network structures and their dynamics. Prediction models can be enhanced by using network science along with machine learning, informed by social science theories. In this talk, I will address approaches for extracting implicit relationships in complex systems, and show how they can be integrated with machine learning to improve prediction results.