
Social Network Analysis Methods
| INSTRUCTOR: |
Dr. James Moody |
| DATES: |
Thursday, April 12th and Friday, April 13th
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| TIME: |
Thursday, 9am-11am and 1pm-5pm
Friday, 9am-12pm and 1pm-5pm |
| LOCATION: |
Thursday, April 12th
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9:00am- 11:00am
1:00pm-5:00pm
|
IAB Building, Conference Room 270B
IAB Building, Conference Room 270B |
Friday,
April 13th
|
9:00am-12:00pm
1:00pm-5:00pm |
IAB Building, Conference Room 270B
IAB Building, Conference Room 270B
|
|
TOPIC
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.
AUDIENCE
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.
INSTRUCTOR
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
A general intro to network methods, free online:
http://faculty.ucr.edu/~hanneman/nettext/
Burt, Ronald. Structural Holes and Good Ideas. The American Journal of Sociology, Vol. 110, No. 2 (Sep. 2004), pp. 349-399.
Emirbayer, Mustafa. Manifesto for a Relational Sociology. The American Journal of Sociology, Vol. 103, No. 2 (Sep., 1997), pp. 281-317.
Haynie, Dana. Delinquent Peers Revisited: Does Network Structure Matter? The American Journal of Sociology, Vol. 106, No. 4 (Jan., 2001), pp. 1013-1057.
Marsden, Peter. Core Discussion Networks of Americans. American Sociological Review, Vol. 52, No. 1. (Feb., 1987) pp. 122-131.
Moody, James, White, Douglas. Structural Cohesion and Embeddedness: A Hierarchical Concept of Social Groups. American Sociological Review, Vol. 68, No. 1 (Feb., 2003), pp. 103-127.
Robbins, G., Pattison, P., Kalish, Y., and Lusher, D. An introduction to exponential random graph (p*) models for social networks. Social Networks (2006).
Robbins & Morris 2006. Exponential random graph (p*) models. Social Networks (2006).
To register
**Enrollment for this course is now closed**
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:
chssp@columbia.edu. Please include your mailing address, as readings will be sent to course participants. Also, include a few sentences
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The Health & Society Scholars Program at Columbia University is a postdoctoral program funded by the Robert Wood Johnson Foundation. It is a joint initiative of the Mailman School of Public Health and the Institute for Social and Economic Research and Policy (ISERP) at Columbia, and is co-directed by Bruce Link and Peter Bearman. For more information call 212-854-3694 or email chssp@columbia.edu
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