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Non-random mixing by age and gender in an example ego’s network. In the latent non-random mixing model m(e, a) allows the propensity of ties to vary based on characteristics of both the alters and the egos. Here, by ego, we refer to a survey respondent and by alter, we refer to a member of subgroup a with whom the respondent could potentially form ties.
