| Session Title: Longitudinal Social Network Analysis: An Understanding of This Dynamic Network Approach |
| Expert Lecture Session 775 to be held in CROCKETT C on Saturday, Nov 13, 10:00 AM to 10:45 AM |
| Sponsored by the |
| Chair(s): |
| Kimberly Fredericks, The Sage Colleges, fredek1@sage.edu |
| Presenter(s): |
| Kimberly Fredericks, The Sage Colleges, fredek1@sage.edu |
| Abstract: In the field of social network analysis, the study of longitudinal networks has been in the forefront as researchers try to capture the dynamic nature of networks. To study such dynamic networks actor-oriented stochastic models of continuous-time Markov chains and exponential random graph models have been used. Dr. Kimberly Fredericks is an expert in social network analysis and its use in evaluation and has published on the topic in such journals as New Directions for Evaluation. In this presentation she will introduce both models as methods to describe and explain the development of interpersonal and inter-organizational networks. The models are applied to longitudinal data to uncover which micro mechanisms (i.e., individual choices) lead to which macro outcomes (i.e., network structures), and how and why these structures change over time. The theories and components of each model and its analysis will be explored as well as its application to program evaluation. |