USC Social Network Analysis Institute 2014
3-Day Training in Social Network Analysis (SNA)
Monday 7/28, Wednesday 7/30, Friday 8/1
Priority will be given to people who register by June 1, 2014
This summer, the Center for Digital Humanities at USC will organize a Social Network Analysis “Institute” (or workshop) for three days. Students, faculty and staff of USC are invited to apply, as are interested members of the general public.
Social network analysis (SNA) is a method of analyzing and visualizing patterned relationships among various social actors, such as people, groups or nation-states. Many scholars in the humanities also use it to study relationships among authors and texts, as well as to study semantic relationships within texts.
The institute will introduce the main concepts of SNA, for instance social capital, homophily, structural equivalence, and methods used in the social sciences. The methods topics include data collection, issues in study design, measures on nodes (centrality), measures on networks (density, reachability), positional analysis (cliques, blockmodels), duality and affiliation networks (ties between two or more levels of analysis), and statistical models for networks. This workshop is at the introductory level and will provide an overview of important aspects of SNA. Participants are asked to bring their own laptops capable of running Windows programs (if possible). The bulk of the material will be implemented in UCInet, while some advanced methods will be implemented in R. The format of the Institute will be three classroom days (M,W,F), with cumulative instruction from 10:00 AM to 12 PM and 1 PM to 3 PM. These will be spaced with two open (non-instruction) days on Tuesday and Thursday to allow for a self-paced review and application of concepts based on applicable data. A graduate student tutor will be available to help on the open days.
About the instructor: David Melamed is an Assistant Professor of Sociology at the University of South Carolina, where he teaches the standard introductory course on SNA. Melamed received his Ph.D. from the University of Arizona in 2012. He does research on quantitative methods, including methods for the analysis of relational data. In particular, he is currently developing methods for the identification of communities or cohesive subsets in complex multi-mode and multi-level networks.
To apply, complete the form at the bottom of the page. As an alternative, you can email Colin Wilder (email@example.com), associate director of the CDH, describing briefly your interest in SNA. Participation in the Institute is not restricted to the USC community, however USC applicants will be given priority until June 1. Enrollment fee $80 for USC students; $350 for USC faculty and staff; and $500 for members of the public or of other educational institutions. Unfortunately, no financial aid is available. Not for course credit.
Applicants will be notified in late June if they have been accepted to the institute. If you are accepted and wish to participate, the course fee (see above) must be paid in advance to hold your seat.