Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45171, first published .
Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study

Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study

Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study

Yiding Cao   1 , PhD ;   Suraj Rajendran   2 , BS ;   Prathic Sundararajan   3 , BS ;   Royal Law   4 , MPH, PhD ;   Sarah Bacon   5 , PhD ;   Steven A Sumner   5 , MSc, MD ;   Naoki Masuda   6 , PhD

1 Department of Systems Science and Industrial Engineering, Binghamton University, State University of New York, Binghamton, NY, United States

2 Tri-Institutional Program in Computational Biology and Medicine, New York, NY, United States

3 Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States

4 Division of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States

5 Office of Strategy and Innovation, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States

6 Department of Mathematics, State University of New York at Buffalo, Buffalo, NY, United States

Corresponding Author:

  • Naoki Masuda, PhD
  • Department of Mathematics
  • State University of New York at Buffalo
  • North Campus
  • Buffalo, NY, 14260
  • United States
  • Phone: 1 716 645 8804
  • Email: naokimas@gmail.com