Jeff Smith
Jeffrey Smith is doctoral candidate at Duke
University. His research focuses on networks, quantitative methodology
and political sociology. In his dissertation, he relates political
outcomes, such as group voting behavior, to large scale network
features.
He is currently involved in a number of related projects, including a
paper which uses independently sampled ego networks to uncover the
properties of the full, unknown network. He is also working with Miller
McPherson on a paper which imputes network structure onto datasets, and
therefore regressions, with no explicit network data. Additionally, he
is working with James Moody (as well as Dan McFarland) on a paper which
uses dynamic exponential random graph models on classroom social
networks; another series of papers looks at the effect of missing data
on the validity of network measures.
Finally, he is working on a paper (with Bob Faris) which models
adolescent status hierarchies in a multilevel context.
You can reach
Jeff via email
or visit his
website.
|
