WASSERMAN, S., and ANDERSON, C. (1987), "Stochastic a posteriori blockmodels: Construction and assessment", Social Networks, 9, 1 -- 36.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....all other actors are the same for all actors in the same class. The incorporation of stochastic equivalence in a model for relational data is much more di#cult when attributes cannot be observed and the class structure can only be identified a posteriori based on the observed relational data y. Wasserman and Anderson (1987) proposed an a posteriori blocking procedure in the framework of the p 1 family (Holland and Leinhardt, 1981) Snijders and Nowicki (1997) studied an a posteriori blockmodel for undirected graphs assuming that C = 2 and that the probability of an edge between two actors depends only on the ....

....Thus the probability of observing edge pattern y can be written as P(y #, #) # x#C n P(y, x #, #) 10) Given this a posteriori block model, we wish to estimate the parameters # and # and predict the unobserved coloring x. Nowicki and Snijders: Stochastic Blockstructures 5 Wasserman and Anderson in their 1987 paper pioneered statistical posterior blockmodeling by considering it for digraphs in the context of Holland and Leinhardt s (1981) p 1 model. The p 1 family of distributions for digraphs includes two parameters for each vertex, called the productivity parameter (related to the number of ....

[Article contains additional citation context not shown here]

WASSERMAN, S., and ANDERSON, C. (1987), "Stochastic a posteriori blockmodels: Construction and assessment", Social Networks, 9, 1 -- 36.

No context found.

Wasserman, S., and Anderson, C., (1987), "Stochastic a posteriori blockmodels: construction and assessment," Social Networks, 9(1), 1-36.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC