Neha Gondal

Associate Professor


My primary research interests lie in exploring the relationship between social networks and culture and its role in the production and maintenance of social inequalities. I employ cutting edge statistical techniques for modeling social networks including varieties of exponential random graph models (ERGM) and agent-based modeling (ABM) to study diverse contexts such as elite consolidation through money-lending ties in Renaissance Florence, inequalities in academic communities evident in citation and hiring networks, and the clustering of unhealthy outcomes in Boston’s public housing developments. Even though each context presents distinctive characteristics, I find two types of intertwined mechanisms to be common to the creation of a variety of social networks: (1) cultural heuristics such as identity or cognition and (2) stratifying tendencies such as a desire to connect to popular actors or to maintain exclusivity in interactions.

Curriculum Vitae

Professional Website