Influence and Equity in Faculty Co-Authorship Networks
Date
2024
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Haverford College. Department of Computer Science
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Thesis
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Award
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eng
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Bi-College users only until 01/01/2025. Afterwards Open access
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Abstract
Faculty co-authorship networks reflect the connections between faculty members in academia. These connections open individuals to information access. Faculty co-authorship networks, like other social networks, can create a power imbalance between faculty who have access to information and those who don’t. In this thesis, I seek to understand this power structure and develop methods to make information access in computer science more equitable. Computer Science (CS) suffers from a lack of diversity and underrepresentation of women and minority groups. Mentorship programs are a proven, effective strategy to improve diversity in these fields. I seek to develop a mentorship pairing algorithm based on a CS co-authorship network and demographic information of faculty members to increase diversity in the field. To work towards this goal, we collect demographic information on faculty members and analyze edge augmentation strategies focused on improving information access.