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Introduction to Social Network Analysis Webinar: Broad Overview and a Demonstration of a Novice’s Guide Using R Statnet

June 28, 2018 @ 12:00 pm - 1:00 pm

A social network analysis is a process for mapping the relationships and links (including flow) between individuals, groups, organizations or other types of connected entities. This analysis can be used to look at a broad array of public health challenges and questions to drive better action, including mapping the spread of sexually transmitted infections or displaying the flow of patients between healthcare facilities. NACCHO invites you to learn more about social network analyses—what they look like and how they can be applied. Webinar participants will also be led through an explanation and live demonstration of a recently developed toolkit from the Florida Department of Health in Orange County, A Novice’s Guide: Social Network Analysis Using R Statnet, which includes basic terminology and steps for conducting a social network analysis using free data analysis software.

Register now.

Learning Objectives

By the end of this webinar, participants will be able to:

  • Describe a social network analysis, including general terminology;
  • Identify potential applications for social network analyses; and
  • Locate and apply a toolkit that provides step-by-step instructions for a sample social network analysis.


Danielle Rankin, MPH, CIC is an Infection Prevention and Assessment Response Epidemiologist for the Florida Department of Health Bureau of Epidemiology. Danielle recently completed the Florida Epidemic Intelligence Service Fellowship in which she dedicated her time to studying and developing a baseline social network analysis of healthcare entities in Orange County, Florida to understand the influences of patient movement. Danielle holds a Master of Public Health in Epidemiology and Global Communicable Diseases from the University of South Florida. In 2017, she became certified in Infection Prevention and Control through the Certification Board of Infection Control and Epidemiology.


June 28, 2018
12:00 pm - 1:00 pm
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