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https://illinois.zoom.us/meeting/register/tZUqcOmgqzwvGd2Hy2EAfQG8zx3HtOSn88Rv

Social Network Analysis for the Social and Behavioral Sciences

Event Type
Seminar/Symposium
Sponsor
Center for Social and Behavioral Science
Date
Sep 16, 2022   9:00 am - 5:00 pm  
Registration
Register for Zoom details
Views
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Originating Calendar
Center for Social and Behavioral Science

Center for Social and Behavioral Science (CSBS) Methods series presents a virtual workshop, Social Network Analysis for the Social and Behavioral Sciences, to be presented by Prof. James Moody, Professor of Sociology at Duke University and Director of the Duke Network Analysis Center (DNAC). The workshop will take place from 9:00 a.m. – 5:00 p.m. CDT on Friday, September 16, 2022, via Zoom. 

REGISTER NOW 

 Zoom login details will be provided before the workshop for those who register. 

Tentative Schedule 
9:00-11:00 General history, approach, data structures and metrics (centrality) 
11:00-11:15 Break 
11:15-12:15 Data collection and ethics; ego-network
12:15-1:15 Lunch Break
1:15-3:15 Diffusion & peer influence, Communities roles
3:15-3:30 Break
3:30-4:30 Statistical models for networks
4:30-5:00 Future directions for the field / Wrap-up (discuss other methods, Q&A) 

More Information about the workshop
Social network analysis focuses on how to measure and model relations within a population and how such relations affect behavior. Networks have been applied across a wide array of social scientific questions, including peer influence, social capital, hierarchy, disease diffusion, terrorism and world-systems models to name just a few. The core insight of network models is that social actors are not independent: behavior is shaped by the rich pattern of associations one is embedded within. Breaking with the common statistical independence assumption requires different ways of conceptualizing data and best characterizing complex relational patterns requires specialized tools and approaches. In this workshop we will review the foundations of network analysis starting from data collection through modeling outcomes. The workshop will cover how to think about data, measures, and models.  No coding or prior experience is necessary; class examples will be demonstrated mainly within the R computing language (with some pointers to alternatives). Example code will be available for those interested in running the models themselves.  

For those interested in a brief introduction, we recommend: 

About Prof. James Moody 
James Moody is Professor of sociology at Duke University. He has published extensively in the field of social networks, methods, and social theory. His work has focused theoretically on the network foundations of social cohesion and diffusion, with a particular emphasis on building tools and methods for understanding dynamic social networks. He has used network models to help understand school racial segregation, adolescent health, disease spread, economic development, and the development of scientific disciplines. Moody's work is funded by the National Science Foundation, the National Institutes of Health and the Robert Wood Johnson Foundation and has appeared in top social science, health and medical journals. He is winner of INSNA's (International Network for Social Network Analysis) Freeman Award for scholarly contributions to network analysis, founding director of the Duke Network Analysis Center and former editor of the on-line Journal of Social Structure. For more information, see https://scholars.duke.edu/person/james.moody 

 

 

 

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