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Network analysis workshops in the 2012 ICPSR Summer Program
Greetings from the ICPSR Summer Program!
As you know, network analysis is a topic that is receiving an enormous amount of attention in the social and behavioral sciences. The methodological tools associated with network analysis have proven to be useful in a wide variety of research contexts and substantive areas. Because of the broad interest in network analysis, we want to let you know about the courses on this topic that we will be offering in the 2012 ICPSR Summer Program. This year, we will be offering a total of seven different courses, varying from introductory to advanced levels. The courses will be held in three different locations, and they range in length from four days to four weeks.
Four of the workshops provide basic introductions to the methodological techniques associated with network analysis. These classes assume that participants have a first course background in statistics, but no prior experience with network analysis. The first three are four- or five-days long, while the last is a full four-week ICPSR course:
Network Analysis: An Introduction. The instructors for this course are Stanley Wasserman, from Indiana University, and Hank Green from the RAND Graduate School. This workshop has been offered for more than 25 years by ICPSR, and focuses on data, statistics, and models. The course is an intensive four-day workshop that will be taught in Ann Arbor, Michigan, May 29-June 1, 2012.
Social Network Analysis: An Introduction. The instructor for this course is Katherine Faust, from the University of California, Irvine. The course is an intensive five-day workshop, taught in Chapel Hill, North Carolina, July 16-20, 2012.
Network Analysis: Theory and Methods. The instructors for this course are Bernice Pescosolido and Anne McCranie, both from Indiana University. This course covers the theory of networks and the substantive backgrounds of network studies. It will introduce participants to the methodology translating theoretical conceptualizations of networks into empirical practice. The course is an intensive five-day workshop that will be taught in Bloomington, Indiana, August 6-10, 2012.
Network Analysis. The instructor for this course is Ann McCranie, from Indiana University. Participants will learn about data collection and preparation and methods for analysis of individual actors, subgroup, and network properties; statistical models will be introduced in the last week of the course. The course will be taught during the first four-week session of the ICPSR Summer Program, June 18-July 13, 2012, in Ann Arbor, Michigan.
The last three workshops cover more advanced topics in the methods of network analysis. They assume that participants have had exposure to, and some experience with, the methodology of network analysis. The first two are five-days long, while the last is a full four-week ICPSR course.
Network Analysis: A Second Course. The instructors for this course are Stanley Wasserman, from Indiana University, and Hank Green from the RAND Graduate School. This course will focus on statistical models, drawing on the methodological research on p* and actor-oriented longitudinal models. Software used will include pnet, statnet, siena, and pajek. The course is an intensive five-day workshop and it will be taught in Ann Arbor, Michigan, June 4-8, 2012.
Analysis of Large-Scale Networks. The instructor for this course is Jukka-Pekka Onnela, from Harvard University. The course provides training on how to effectively handle and analyze large scale networks on datasets involving millions of people or data points. It is a third-level course, and assumes that participants already have experience in the methodology of network analysis at about the level of the second course described above. The course is an intensive five-day workshop and it will be taught in Ann Arbor, Michigan, June 18-20, 2012.
Network Analysis: Advanced Topics. The instructor for this course is Bruce Desmarais, from University of Massachusetts, Amherst. This is a course on inferential network analysis that will focus on probabilistic models for network data. These models can be used to characterize uncertainty in network properties, test hypotheses about network generating processes, and simulate networks from a given distribution. The course will be taught during the second four-week session of the ICPSR Summer Program, July 16-August 10, 2012, in Ann Arbor, Michigan.
More information, including detailed course descriptions, fee schedule, and application forms are available on the ICPSR Summer Program website:
If you have any further questions about our Network Analysis workshops, or about any other aspect of the 2012 ICPSR Summer Program, please do not hesitate to contact us by e-mail ([log in to unmask]" target="_blank">[log in to unmask]) or telephone (734-763-7400).
We hope that you find these courses to be interesting and relevant to your own work. And, of course, we hope you will be able to participate in at least one of them during the 2012 ICPSR Summer Program!
All best wishes,
William G. Jacoby
Director, ICPSR Summer Program in Quantitative Methods of Social Research
Professor, Department of Political Science, Michigan State University
Assistant Director, ICPSR Summer Program in Quantitative Methods of Social Research