Online Program Home
My Program

Abstract Details

Activity Number: 245 - Bayesian Inference in the Life Sciences and Medicine
Type: Contributed
Date/Time: Monday, July 29, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #305113 Presentation
Title: Overlapping Activity Patterns and Community Detection in Ecological Networks
Author(s): Wenna Xi* and Catherine A. Calder and Christopher R. Browning
Companies: The Ohio State University and The Ohio State University and The Ohio State University
Keywords: Bayesian modeling; latent Dirichlet allocation; network analysis; social science

The extent to which activity spaces -- the collection of an individual’s routine activity locations -- overlap provides important information about the function of a city and its neighborhoods. To study the patterns of overlapping activity spaces and to detect communities of individuals based on their shared locations, we introduce the notion of an ecological network, a type of two-mode network with the two modes being individuals and routine activity locations. Specifically, we identify latent activity pattern profiles, which, for each community, summarize its members’ probability distribution of going to each location, and community assignment vectors, which, for each individual, summarize his/her probability distribution of belonging to each community. Using data from the Adolescent Health and Development in Context (AHDC) Study, we employ latent Dirichlet allocation (LDA) to identify activity pattern profiles and community assignment vectors. We then explore differences across neighborhoods of Columbus, OH in the strength, and within-neighborhood consistency of community assignment, paying particular attention to the association between race and these measures.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program