A continuation of Network Hypotheses I. We continue to explore QAP to test different kinds of dyadic hypotheses, including problem situations. We also discuss the use of permutation methods for testing node level hypotheses. Network change models will be considered. Finally, briefly compare QAP to ERGM and SIENA.
Suggested Readings
Robins, G., P. Pattison, Y. Kalish, and D. Lusher (2007). On exponential random graph models for cross-sectional analysis of complete networks: An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2): 173-191 [pdf]
Lusher, D., J. Koskinen, and G. Robins (eds.) (2013) Exponential Random Graph Models for Social Networks. Structural Analysis in the Social Sciences. New York: Cambridge University Press.
Snijders, T.A.B., G. van de Bunt, G., and Ch. Steglich (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32: 44-60.