197 citations · 352 across the 8 of their papers we have counts for
9 papers
Modeling and Evaluation of Clustering Patient Care into Bubbles
D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang +5
COVID-19 has caused an enormous burden on healthcare facilities around the world. Cohorting patients and healthcare professionals (HCPs) into "bubbles" has been proposed as an infe…
Latent Space Models for Dynamic Networks
Daniel K. Sewell, Yuguo Chen
Dynamic networks are used in a variety of fields to represent the structure and evolution of the relationships between entities. We present a model which embeds longitudinal networ…
Heterogeneous Susceptibilities in Social Influence Models
Daniel K. Sewell
Network autocorrelation models are widely used to evaluate the impact of social influence on some variable of interest. This is a large class of models that parsimoniously accounts…
Simultaneous and Temporal Autoregressive Network Models
Daniel K. Sewell
While logistic regression models are easily accessible to researchers, when applied to network data there are unrealistic assumptions made about the dependence structure of the dat…
Network Autocorrelation Models with Egocentric Data
Daniel K. Sewell
Network autocorrelation models have been widely used for decades to model the joint distribution of the attributes of a network's actors. This class of models can estimate both the…
Latent Space Approaches to Community Detection in Dynamic Networks
Daniel K. Sewell, Yuguo Chen
Embedding dyadic data into a latent space has long been a popular approach to modeling networks of all kinds. While clustering has been done using this approach for static networks…