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For those interested in an introductory networks course this summer,
Portland State is offering a 1 day tutorial as part of their Quantitative
Methods Series.

Details:

June 15.  Introduction to Social Network Analysis
Jeffrey A. Smith, University of Nebraska-Lincoln


Description of course:

This class offers an introduction to social network analysis.  Students
will learn how to analyze, visualize and interpret network data using R, a
free statistical language and platform. By the end of the class students
should be able to: understand the unique features of network data; read
network data into R; compute simple network measures; graph a network; and
understand the potential and limitations of a network approach. This is an
introductory course and there are no mathematical or programming
prerequisites.


There are a number of other methodological seminars which may be of
interest as well. The full schedule:

June 13-14.  Applied Missing Data Analysis
Craig Enders, Arizona State University

June 15.  Introduction to Social Network Analysis
Jeffrey A. Smith, University of Nebraska-Lincoln

June 16-17.  Latent Variable Modeling using R
A. Alexander Beaujean, Baylor University

June 18-19.  Longitudinal Structural Equation Modeling
Jason T. Newsom, Portland State University

Please visit http://www.upa.pdx.edu/IOA/newsom/SQMS/ for more
information.

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