JSM 2005 - Toronto

Abstract #303366

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 495
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #303366
Title: Estimation and Examination of Covariance Structures of Longitudinal Social Network Data
Author(s): Anton Westveld*+ and Peter Hoff
Companies: University of Washington and University of Washington
Address: Box 354322, Seattle, WA, 98195-4332, United States
Keywords: social networks ; longitudinal data
Abstract:

Social network data consist of measured relations among a set of actors. This type of data allows for the empirical investigation of the interconnectivity of the actors, which is a cornerstone of social science theory. This paper focuses on data generated from the repeated interaction of pairs of actors (temporal dyadic data), resulting in an outcome for each actor at each time point. Examples of such data arise in many disciplines. Yearly trade levels between nations is an archetypal example of longitudinal social network data; every year, the amount each nation sends (exports) and receives (imports) is recorded. Other examples include conflicts between nations, migration, friendship relations, sexual relations, tournaments and games, and data generated from experimental game theory. Previous studies have generally focused on modeling the temporal correlation or the network correlation. In this paper, we propose statistical methodology that accounts for both types of correlation.

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Revised March 2005