Five-day Course • June 21 –25, 2010 • Lawrence, Kansas

Sponsored by the Quantitative Psychology Training Program of the Department of Psychology at the
University of Kansas

• Overview
• Instructors
• Software and Computer Support
• Syllabus
• Literature
• Contact Information

Institute Overview

This is a one-week course designed primarily for researchers who are currently doing longitudinal social network research or who are embarking upon it. More specifically, the course is about how to analyze panel data on complete social networks; "complete" meaning that the collection of all network ties within one or several groups is being studied, "panel"; that it is observed at two or more discrete moments in time. The course will treat statistical modelling of network dynamics according to the stochastic actor-based approach (Snijders 2001, 2005; Snijders, Steglich and Schweinberger, 2007). The course will use the computer program SIENA and will consist of a mixture of classroom teaching and hands-on computer work. Some attention will be paid also to non-longitudinal network models, the so-called Exponential Random Graph Models. 

Top of Page

Instructors

Top of Page

Software and Computer Support

Participants are expected to bring their own laptops, on which SIENA can be installed before or during the course. It is expected that participants have a basic knowledge of statistical modeling. No specific prior knowledge of network analysis, or of the SIENA program, is assumed. However, attendees who know nothing about social network analysis are adviced to read some introductory material as mentioned below in the reference list. Further information and publications about this method and software can be found at http://stat.gamma.rug.nl/siena.html

Top of Page

Syllabus

Top of Page

Literature

Those who are new to the field of network analysis are advised to have a look at one (or both) of the two general introductory texts on social network analysis mentioned below, to get a general impression of this encompassing domain. Those who like to do some introductory reading more specifically on the topic of this course are advised to read Snijders, van de Bunt & Steglich (2009) as a non-technical introduction to modeling network dynamics. Further references and the software can be found at http://stat.gamma.rug.nl/siena.html

This literature list is not final, and will be updated for the course.

The free online introductory textbook on social network analysis (2005), Introduction to social network methods, by Robert Hanneman and Mark Riddle. http://faculty.ucr.edu/~hanneman/nettext/

John Scott, Social Network Analysis: A Handbook. 2nd edition. Sage, 2000.

Stochastic actor-based models for network dynamics

Snijders, Tom A.B., The statistical evaluation of social network dynamics. M.E. Sobel and M.P. Becker (eds.), Sociological Methodology-2001, 361-395. Boston and London: Basil Blackwell.
(This is a general technical exposition of the method for modeling network dynamics.)

Snijders, Tom A.B. Models for Longitudinal Network Data. Chapter 11 in P. Carrington, J. Scott, & S. Wasserman (Eds.), Models and Methods in Social Network Analysis. New York: Cambridge University Press (2005), p. 215-247.
(This is another general, rather technical exposition of the method for modeling network dynamics, presumably written in a somewhat more accessible style than the preceding article.)

Snijders, T. A. B., Steglich, C., & Schweinberger, M. Modeling the co-evolution of networks and behavior. In K. van Montfort, H. Oud & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences, p. 41-71. Mahwah, NJ: Lawrence Erlbaum (2007).
(This is a general technical exposition of the method for modeling the interdependent dynamics of networks and behavior.)

Snijders, Tom A.B., Christian E.G. Steglich, Michael Schweinberger, and Mark Huisman. (2007). Manual for SIENA version 3. Groningen: University of Groningen, ICS. Oxford: University of Oxford, Department of Statistics. http://www.stats.ox.ac.uk/~snijders/siena/sie_man31.pdf

Snijders, T.A.B., Steglich, C.E.G., and van de Bunt, G.G. (2009). Introduction to actor-based models for network dynamics. Submitted for publication. http://www.stats.ox.ac.uk/~snijders/siena/SnijdersSteglichVdBunt2008.pdf
(This is a general non-technical introduction to the methods for modeling network dynamics as well as for modeling the interdependent dynamics of networks and behavior, and has been accepted for publication in Social Networks.)

Steglich, Christian E.G., Snijders, Tom A.B. and Pearson, Michael. (2009). Dynamic Networks and Behavior: Separating Selection from Influence. Submitted for publication. http://www.stats.ox.ac.uk/~snijders/siena/SteglichSnijdersPearson2009.pdf
(This is a general exposition of the method for modeling the interdependent dynamics of networks and behavior, with many connections to other social science research on this topic.)

Top of Page

Contact Information

For information on course content, contact Noel A. Card ncard@email.arizona.edu or Todd D. Little yhat@ku.edu.

Top of Page