
ALT Schematic of model. (A) The properties of each agent include a network estimation, a gender, 3 biases (alpha, beta, and gamma) and a citation history. (B) A schematic of the effects of alpha, which determines the gender makeup of agent's subjective network estimations. As alpha increases, network estimates will contain more women. (C) A schematic of the effects of beta, which determines how the network estimate is sampled. As beta increases, walks sampling the network will be biased towards women. (D) A schematic of how gamma influences learning during simulated meetings. Agents with low gamma values will have a lower threshold for learning and update their network estimation more often than individuals with high gamma.

ALT Plot showing a parameterization of the model that results in stably equitable citations. Beta is drawn from a skewed distribution centered on 0.6, and gamma is drawn from a normal distribution centered on 0.1. This parameterization results in a slight overcitation of women (less than 10%). While the citation of women decreases initially, it stabilizes with a slight overcitation of women.

























