Introduction to Social Network Analysis, Remote – September 2020

Event Phone: 1-610-715-0115

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A 3-Day Remote Seminar
Taught by John Skvoretz, Ph.D.

Our lives play out through the relationships we maintain with others. Much social research assumes that these relationships can be ignored, and focuses instead on how individual attributes influence such outcomes as success, health, and sense of well-being. Social network research takes a contrary view, placing explanatory power in the connections we have to others and how the overall patterning of those connections contributes to the important outcomes in our lives.

A social network perspective can provide novel explanatory variables (betweenness, centrality, structural holes, etc.) to account for why individuals and groups experience differential outcomes in wide variety of settings. Here are some examples from the instructor’s current research projects:

  • The differential adoption of evidence-based instructional practices as a function of networks of teaching and research discussion among STEM faculty.
  • The diffusion of misinformation and competing narratives within and across online platforms.
  • The extent of intergroup associations between school children in five European countries.
  • Friendship and sexual contact networks among Latino men who have sex with men and their usage of medication to prevent HIV.

More specifically, the study of social networks focuses on relationships among the units of a population. It also investigates how the structure of these ties affects outcomes experienced by both the units and the population. Often the units are persons, but they may be families, households, corporations, or nation states. Social network analysis refers to the methods by which properties of social networks are described, quantified, and analyzed. This workshop is an introduction to these methods.

The study of social networks is an interdisciplinary field and so students from a variety of backgrounds are welcome: students from Sociology, Anthropology, Criminology, Political Science, Management, Public Health, Industrial Engineering, and Computer Science can all benefit from the workshop, although examples to illustrate concepts and for practice exercises are drawn primarily from social and political science.

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