Daniel K. Sewell

According to our database, Daniel K. Sewell authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Automated detection of edge clusters via an overfitted mixture prior.

Hanh T. D. Pham, Daniel K. Sewell

Netw. Sci., March, 2024

2022

Network-Informed Constrained Divisive Pooled Testing Assignments.

Daniel K. Sewell

Frontiers Big Data, 2022

Agglomerative and divisive hierarchical Bayesian clustering.

Elliot Burghardt, Daniel K. Sewell, Joseph E. Cavanaugh

Comput. Stat. Data Anal., 2022

2021

A comparison of estimators for the network autocorrelation model based on observed social networks.

Haomin Li, Daniel K. Sewell

Soc. Networks, 2021

Model-Based Edge Clustering.

Daniel K. Sewell

J. Comput. Graph. Stat., 2021

Modeling and Evaluation of Clustering Patient Care into Bubbles.

D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2019

Latent space models for network perception data.

Daniel K. Sewell

Netw. Sci., 2019

Measuring electronic communication networks in virtual care teams using electronic health records access-log data.

Xi Zhu, Shin-Ping Tu, Daniel K. Sewell, Nengliang (Aaron) Yao, Vimal Mishra, Alan Dow, Colin A. Banas

Int. J. Medical Informatics, 2019

Evaluating architectural changes to alter pathogen dynamics in a dialysis unit: for the CDC MInD-healthcare group.

Hankyu Jang, Samuel Justice, Philip M. Polgreen, Alberto M. Segre, Daniel K. Sewell, Sriram V. Pemmaraju

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Heterogeneous susceptibilities in social influence models.

Daniel K. Sewell

Soc. Networks, 2018

Simultaneous and temporal autoregressive network models.

Daniel K. Sewell

Netw. Sci., 2018

Visualizing data through curvilinear representations of matrices.

Daniel K. Sewell

Comput. Stat. Data Anal., 2018

2017

Network autocorrelation models with egocentric data.

Daniel K. Sewell

Soc. Networks, 2017

2016

Latent space models for dynamic networks with weighted edges.

Daniel K. Sewell, Yuguo Chen

Soc. Networks, 2016