Dyadic Regression

Important note: Today (27th Feb) we will be in The Furst Board Room (room 360), down by the Dean's area.

Introduction to QAP correlation and regression. Predicting dyadic variables, including presence/absence of ties and similarities between nodes.

Readings

ASN ch 14
Borgatti, S. P., & Cross, R. (2003). A relational view of information seeking and learning in social networks. Management science, 49(4), 432-445.
Baker, F. B., & Hubert, L. J. (1981). The analysis of social interaction data: A nonparametric technique. Sociological Methods & Research, 9(3), 339-361.
Dekker, D., Krackhardt, D., & Snijders, T. A. (2007). Sensitivity of MRQAP tests to collinearity and autocorrelation conditions. Psychometrika, 72(4), 563-581. [skim]

Handouts

Exercises

Supplementary Readings

Krackhardt, D. (1987). QAP Partialing as a Test of Significance. Social Networks, 9, 171-186.
Allison, P. D. (1990). Change scores as dependent variables in regression analysis. Sociological methodology, 93-114.
Borgatti, S. P., & Feld, S. L. (1994). How to test the strength of weak ties theory. Connections, 17(1), 45-46.

Questions to think about

Class notes