The LINKS Center at the University of Kentucky is offering its annual summer
workshop on social network analysis June 3-8, 2012 on the University of
Kentucky campus. The 1-week workshop features sessions by Filip Agneessens,
Steve Borgatti, Dan Brass, Rich DeJordy, Dan Halgin, Jeff Johnson, David
Krackhardt, Joe Labianca, Ajay Mehra and Tom Valente. There is a 20%
discount for registering before April 15, and students pay half-price. To
sign up, visit the workshop
website<https://sites.google.com/site/uklinkscenter/2012-summer-workshop>.
Here is what we are offering:
1 Pre-workshop Works-in-Progress conference (1 day) Sunday, June 3. Led by
Jeff Johnson and Joe Labianca.
* This is a developmental session for people working on (or
contemplating) a network research project. Participants present their ideas
and get help from other participants and from our panel of experts. The
format will include a few plenary talks and many small-group working sessions
2 Introduction to Social Network Analysis (4 days) Monday-Thursday, June
4-7. Led by Dan Brass and Dan Halgin.
* A 1-day theoretical and empirical overview of the field, followed by
* A 3-day comprehensive survey of the concepts and methods of social
network analysis, including data collection, data management, centrality,
social capital, cohesion, and hypothesis testing. In addition, participants
learn how to use network analysis software, including UCINET and NetDraw.
3 Analyzing Social Network Data (4 days) Monday-Thursday, June 4-7. Led by
Rich DeJordy.
* A more technical version of Intro to SNA that covers most of the
same topics but focuses more on the software and interpreting the equations
& formulas that define many network concepts
* Begins with an overview of the graph-theoretic and matrix-algebraic
underpinnings of network analysis
* Includes lab sessions in which participants work through analysis
exercises using the software
4 Advanced Network Analysis (4 days) Monday-Thursday, June 4-7. Led by
Steve Borgatti.
* For people interested in both a deeper and broader look at network
theory and methods. Topics include advanced centrality methods, analysis of
network change, advanced approaches to 2-mode data, analyzing negative ties,
working with multiple relations, and testing unusual hypotheses
5 Stochastic Network Models (4 days) Monday-Thursday, June 4-7. Led by
Filip Agneessens.
* This course begins with a 3-hour mini-module on the general concept
of statistical network modeling and an introduction to R. Then there are two
days on exponential random graph models (ERGMs). This is followed by a
one-and-a-half-day session on Siena-type longitudinal models
6 Networks and Health (1 day) Friday, June 8. Led by Tom Valente.
* Social network analysis used in the context of understanding
health-related behaviors, interventions and disease epidemiology.
7 Networks and Organizations (1 day) Friday, June 8. Led by David Krackhardt.
* Social network analysis used in the context of organizations and
management. Both the academic research side and the applied side will be
covered.
8 Special Topics Mini-Modules (every day from 4-6pm). Various instructors.
* These are short, in-depth sessions on a variety of topics. We are
currently envisioning modules on: online surveys, working with IRBs, data
entry, cognitive social structures, missing data, and E-Net software for
personal network research.
* Also available in the 4-6pm time slot are data labs where you can
bring your data and work on it with the help of one of our assistants
9 One-on-One Consulting Sessions
* An opportunity on each day of the workshop to discuss your research
in-depth with Ajay Mehra (and, very likely, others). These sessions are held
each afternoon and evening by appointment.
Visit the workshop
website<https://sites.google.com/site/uklinkscenter/2012-summer-workshop>
for full details:
https://sites.google.com/site/uklinkscenter/2012-summer-workshop
Please note that all sessions are capped at about 55 participants, so you
might want to register early.
Thanks,
Travis Grosser
University of Kentucky
tjgros2@uky.edu