Graduation Year


Document Type

Open Access Senior Thesis

Degree Name

Bachelor of Science



Reader 1

Heather Zinn-Brooks

Reader 2

Mason A. Porter

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Rights Information

2023 Emerson A McMullen


Although women have made progress in entering positions in academia and
industry, they are still underrepresented at the highest levels of leadership.
Two factors that may contribute to this leaky pipeline are gender bias,
the tendency to treat individuals differently based on the person’s gender
identity, and homophily, the tendency of people to want to be around those
who are similar to themselves. Here, we present a multilayer network model
of gender representation in professional hierarchies that incorporates these
two factors. This model builds on previous work by Clifton et al. (2019), but
the multilayer network framework allows us to track individual progression
through the hierarchy and relationships at the level of individual agents.
We use this model to investigate how the network structure and location of
female and male nodes within a given network affect gender representation
throughout the hierarchy.