Upcoming Seminar:
Title: Network Sampling with Sampled Networks
Speaker: Prof. Joe Blitzstein
Department of Statistics
Harvard University
blitzstein@stat.columbia.edu
Abstract:
Data naturally represented in the form of a network, such as social and information networks, are being encountered increasingly often and have led to the development of new generative models (such as exponential random graphs and power law mechanisms) to attempt to explain the observed structure. However, it is usually prohibitively expensive to observe the entire network, so sampling in the network is needed. There has been comparatively little attention given to the question of what network properties are stable under what sampling schemes. We will discuss some examples where valid inferences about the structure of the network can and cannot be drawn from the sample, depending on the generative model, the sampling method, and the quantity of interest.
Time: 11:00-12:00 PM, (Friday)April 25
2008.
Location: Duques 250, 2201 G Street, N.W., Washington D.C.
Directions
Foggy Bottom-GWU Metro Stop on the Orange and Blue Lines.
The campus map is at http://www.gwu.edu/~map. |
