JSM 2005 - Toronto

Abstract #302453

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page



Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 88
Type: Invited
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statisticians in Defense and National Security
Abstract - #302453
Title: National Security Issues in the Design and Analysis of Social Network Studies
Author(s): Steven K. Thompson*+ and Stephen Fienberg*+ and David Banks*+ and Kathleen Carley*+
Companies: The Pennsylvania State University and Carnegie Mellon University and Duke University and Carnegie Mellon University
Address: Department of Statistics, University Park, PA, 16802, United States Department of Statistics, Pittsburgh, PA, 15213, ISDS, Durham, NC, 27708, USA Department of Social & Decision Sciences, Pittsburgh, PA, 15213,
Keywords:
Abstract:

Social network data that has been gathered for national security concerns are often incomplete, noisy, and partially observed, making analysis of such data extremely difficult. In contrast, many of the statistical methods developed for social network analysis presume perfectly sampled and completely observed data. In this talk, we will discuss what must be done to reconcile these extremes and address such questions as: What is the information we would like to have, and how does it relate to the data that are accessible? How can we best sample the accessible data to learn about the desired information? What kind of statistical models will best suit our inferential needs? Can existing models and methodology deal with noisy, incomplete data, or is new methodology required? Also discussed will be a series of questions on this topic gathered from subject matter experts and practitioners in the field.


  • 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 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005