LOGIT MODELS AND LOGISTIC REGRESSIONS FOR SOCIAL NETWORKS: I. AN INTRODUCTION TO MARKOV GRAPHS AND p* STANLEY WASSERMAN UNIVERSITY OF ILLINOIS

Spanning nearly sixty years of research, statistical network analysis has passed through (at least) two generations of researchers and models. Beginning in the late 1930’s, the first generation of research dealt with the distribution of various network statistics, under a variety of null models. The second generation, beginning in the 1970’s and continuing into the 1980’s, concerned models, usually for probabilities of relational ties among very small subsets of actors, in which’ various simple substantive tendencies were parameterized. Much of this research, most of which utilized log linear models, first appeared in applied statistics publications.

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