This workshop introduces the basic concepts and procedures of social network analysis. The workshop will focus on measuring properties of complete social network data, including centrality, social cohesion, formal characteristics of global network structures and a brief introduction to statistical models for social networks. We will also cover analyses based on ego-network data, focusing on local structure and composition measures. The workshop will cover sources for network data and draws examples from multiple substantive areas. The last portion of day 2 will include working through some hands-on examples.
This short course is targeted at researchers from the social and behavioral sciences and medicine who are interested in social network analysis. Familiarity with SAS and access to PAJEK (http://vlado.fmf.unilj.si/pub/networks/pajek/) will be needed.
James Moody is an associate professor of sociology at DukeUniversity, where he recently moved after teaching for seven years at OhioStateUniversity. An expert in network analysis, he has written extensively about the implications of social network structure for health and social organization. His published work appears in journals including the American Journal of Sociology, American Sociological Review, Social Networks, the Journal of the American Medical Association, and the American Journal of Public Health. With H&SS co-director Peter Bearman and Katherine Stovel, Moody co-authored "Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks," which received the Gould Prize for the best paper published in the American Journal of Sociology in 2004.
BACKGROUND READING--see website
This short course is open free of charge to faculty, postdoctoral fellows, and graduate students at Columbia University as well as faculty and postdoctoral fellows at other sites of the Robert Wood Johnson Health & Society Scholars (H&SS) Program. Enrollment is limited to 20; H&SS affiliates will have priority.
To register, please send an email to: firstname.lastname@example.org. Please include your mailing address, as readings will be sent to course participants.
chssp [at] columbia [dot] edu