NCSA-related events

View Full Calendar

C3.ai Digital Transformation Institute Colloquium on Digital Transformation Science Webinar

Event Type
Lecture
Sponsor
C3.ai Digital Transformation Institute
Virtual
wifi event
Date
Apr 22, 2021   3:00 pm  
Speaker
Christian Borgs, Professor of Computer Science, University of California, Berkeley
Registration
Registration
Views
1

The next C3.ai Digital Transformation Institute Colloquia on Digital Transformation Science will be Thursday, April 22 at 3:00 p.m. U.S. Central time. Presenting "Is Local Information Enough to Predict an Epidemic?" will be Christian Borgs from the University of California, Berkeley.

Registration is required to attend this event.

Abstract: While simpler models of epidemics assume homogeneous mixing, it is clear that the structure of our social networks is important for the spread of an infection, with degree inhomogeneities and the related notion of super-spreaders being just the obvious reasons. This raises the question of whether knowledge of the local structure of a network is enough to predict the probability and size of an epidemic. More precisely, one might wonder if by having access to randomly sampled nodes in the network and their neighborhoods, we can predict the above quantities. It turns out that, in general, the answer to this question is negative, as the example of isolated, large communities show. However, under a suitable assumption on the global structure of the network, the size and probability of an outbreak can be determined from local graph features. This research is joint work with Yeganeh Alimohammadi and Amin Saberi from Stanford University.

link for robots only