|
Activity Number:
|
156
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Monday, August 3, 2009 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Social Statistics Section
|
| Abstract - #304473 |
|
Title:
|
A Matrix Time Series Model for Dynamic Social Networks
|
|
Author(s):
|
Xiaoyue Niu*+ and Peter Hoff
|
|
Companies:
|
University of Washington and University of Washington
|
|
Address:
|
, , WA, 98036,
|
|
Keywords:
|
social network ; time series ; international trade ; matrix normal ; reduced rank
|
|
Abstract:
|
The phrase "social network data" generally refers to information on the presence or absence of links between a collection of nodes. The information is often expressed in terms of adjacency matrices. In the talk, we will use the reduced rank approximation to represent the matrices. And we will introduce a matrix time series model to pool the information across different slices of the network. We will apply the model to an international trade example.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2009 program |
