Bruce’s research interests are in using agent-based models that simulate outgroup aversion on network environments and understanding the innovation adoption impacts of groups (affinity and aversion) on adopting a new innovation. Recently he has been exploring modeling of cultural evolution with a focus on modeling institutions as an evolutionary process with variation, transmission and selection. Bruce holds a Ph.D. from University of Central Florida (2023) and has published in IISE Annual Conference, JASSS, and the CSS Annual Conference.
Research Interests
Networks, agent-based models, innovation diffusion, identity signalling, polarization, institutions, cultural evolution
Vaccine adoption with outgroup aversion using Cleveland area data
Bruce Miller | Published Monday, July 31, 2023 | Last modified Sunday, August 06, 2023This model takes concepts from a JASSS paper this is accepted for the October, 2023 edition and applies the concepts to empirical data from counties surrounding and including Cleveland Ohio. The agent-based model has a proportional number of agents in each of the counties to represent the correct proportions of adults in these counties. The adoption decision probability uses the equations from Bass (1969) as adapted by Rand & Rust (2011). It also includes the Outgroup aversion factor from Smaldino, who initially had used a different imitation model on line grid. This model uses preferential attachment network as a metaphor for social networks influencing adoption. The preferential network can be adjusted in the model to be created based on both nodes preferred due to higher rank as well as a mild preference for nodes of a like group.
Under development.