Understanding dyad in ERGM

Published by chengjun on October 20th, 2012

It’s a bit difficult to understand the terms used by ERGM.

I am working on predicting how friendships influence the information diffusion using weibo landscape data with ERGM.

According to the statnet library:

With the parameter of “dyadcov” term, we add three statistics to the model, each equal to the sum of the covariate values for all dyads occupying one of the three possible non-empty dyad states (mutual, upper-triangular asymmetric, and lower-triangular asymmetric dyads, respectively).

Obviously, there are three kinds of dyads.

Check Wasserman and Faust’ book of Social Network Analysis, and I find the figure above.

 However, most of us don’t know the difference between upper-triangular asymmetric and lower-triangular asymmetric dyads.

Based on my understanding, it’s related to the direction of ties, see the figure below (am i right?):


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