Nandini Banerjee
PhD Student
University of Notre Dame · Computer Science & Engineering · Advised by Prof. Diego Gómez-Zará
I study adoption, diffusion, and impact in scientific communities using citation networks, co-authorship graphs, and text embeddings to understand how people and ideas move through social and epistemic structures and what makes some movements more consequential than others
current projects
Disruption and Team Gender Composition
What kind of teams make more disruptive work?
Subfield adoption & diffusion
Modeling how new research subfields spread through co-authorship networks using epidemic-style diffusion models.
Predicting disruption from semantic networks
Using BERT-based embeddings to classify disruptive papers from paper text and citation network.
Gen AI & social science
Characterizing how LLMs are influencing research practices, citations, and output in the social sciences.