***** To join INSNA, visit http://www.insna.org ***** Network analysis workshops in the 2012 ICPSR Summer Program Greetings from the ICPSR Summer Program! This year, we will be offering a total of five different courses, varying from introductory to advanced levels. The courses will be held in two different locations, and they are either week-long, or four week courses. Three 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, and no prior experience with network analysis. The first two are a week long, while the last is a full four- week ICPSR course: Network Analysis: An Introduction. The instructors for this course are Hank Green, from Rand Corp, and Stanley Wasserman, from Indiana University. 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. 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 two workshops cover more advanced topics in the standard methods of network analysis. They assume that participants have had exposure to, and some experience with, the methodology of network analysis: 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. It is designed as a continuation of Network Analysis: An Introduction, taught the prior week; the two courses together provide a two-week long workshop in network analysis. The course is an intensive five-day workshop and it will be taught in Ann Arbor, Michigan, June 4 - 8, 2012. Advanced Network Analysis. The instructor for this course is Bruce Desmarais from University of Massachusetts. This is a course on inferential network analysis focusing on probabilistic models for network data. It discusses exponential random graph models (p*), latent space models and permutation tests/quadratic assignment procedure, statistical models for longitudinal networks, and models for weighted networks, in which ties can assume multiple values. 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: http://www.icpsr.umich.edu/sumprog/ 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]) 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 Dieter Burrell Assistant Director, ICPSR Summer Program in Quantitative Methods of Social Research _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.