Graduation Year
2023
Document Type
Open Access Senior Thesis
Degree Name
Bachelor of Science
Department
Mathematics
Reader 1
Heather Zinn-Brooks
Reader 2
Mason A. Porter
Terms of Use & License Information
Rights Information
2023 Emerson A McMullen
Abstract
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.
Recommended Citation
McMullen, Emerson, "Multilayer Network Model of Gender Bias and Homophily in Hierarchical Structures" (2023). HMC Senior Theses. 271.
https://scholarship.claremont.edu/hmc_theses/271
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Dynamic Systems Commons, Ordinary Differential Equations and Applied Dynamics Commons, Other Mathematics Commons, Social Justice Commons
