Dear all:

Here are the details about SUNBELT XXII workshops.
Not all of the prices have been set yet ... you will be able
    to register for these at the SUNBELT XXII web site ...
    http://www.sunbelt.uiuc.edu/

Please direct all questions about these to the speakers.

Thanks!

Your SUNBELT XXII Program Committee ....

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SUNBELT XXII WORKSHOPS

Speakers, Title, and Details

Wouter de Nooy, Andrej Mrvar Erasmus University Rotterdam
[log in to unmask]
Andrej Mrvar, University of Ljubljana  [log in to unmask]
Vladimir Batagelj, University of Ljubljana  [log in to unmask]

Exploratory Social Network Analysis with Pajek

Description:
 At the workshop our textbook on social network analysis
 'Exploratory Social Network Analysis with Pajek' will
 be presented. It contains twelve chapters:
 Looking for social structure, Attributes and relations,
 Cohesive subgroups, Sentiments and friendship,
 Affiliations, Center and periphery, Brokers and bridges,
 Diffusion, Prestige, Ranking, Genealogies and citations,
 and Blockmodels.

 To actively follow the workshop bring your laptop with you.
 Program Pajek is available at
      http://vlado.fmf.uni-lj.si/pub/networks/pajek/

full day;  $$???

******************************************************
Stephen Borgatti, Boston College [log in to unmask]
Martin Everett, University of Greenwich [log in to unmask]

Introduction to the Analysis of Network Data via UCINET

Description:
 A beginner's tutorial on the concepts, methods and data analysis
 techniques of social network analysis. The course begins with a general

 introduction to the distinct goals and perspectives of network
analysis,  followed by a practical discussion of network data, covering
issues of collection, validity, visualization, and mathematical/computer

 representation. We then take up the methods of detection and
description of structural properties such as centrality, cohesion,
subgroups, cores,  roles, etc. Finally, we consider how to frame and
test network
 hypotheses. An important element of this workshop is that all
 participants are given a demonstration version of UCINET 5 for Windows
 and visualization software, which we use to provide hands-on experience

 analysing real data using the techniques covered in the workshop. In
 order to participate fully in the workshop, participants should bring
 laptop computers so that they can run the analyses on their machines at

 the same time as they are being demonstrated by the instructors.

full day; $50 for students, $100 for all others
********************************************************
James Moody, Ohio State University  [log in to unmask]

Using the Social Network Data from the National Longitudinal Survey of
Adolescent Health

Description:
 This session will introduce participants to the social network data
 available from the National Longitudinal Survey of Adolescent Health
(Add  Health).  Add Health collected global network data on over 130
schools
from  across the country, and dynamic network data covering 3 years for
a  subsample of these.  This workshop will describe the Add Health
survey
 design, the types of network data available, procedures for getting the

 data, and analysis strategies and programs that can be used with the
 data.  The presentation will use substantive examples based on work by
 Moody, Bearman, Bruckner, Haynie and others to demonstrate the range of

 possibilities for using these data.  The workshop will include a
question  and answer session for participants to share their own
research
interests  and questions related to these data.

2 hours;   free

*********************************************************
Tom Snijders, University of Groningen  [log in to unmask]

The Analysis of Longitudinal Social Network Data

Description:
 Longitudinal social network data are understood here
 as two or more repeated observations of a directed graph
 on a given node set (which may range up to about 200 nodes).
 In other words, this is about complete networks.
 This workshop teaches a statistical method to analyse such data.
 This method is treated in a paper in Sociological Methodology - 2001.
 The statistical model used for the network evolution allows
 various network effects (reciprocity, transitivity, balance,
popularity, etc.)  and effects of individual covariates (covariates
connected to the
sender,  the receiver, or the similarity between sender and receiver)
 or network covariates. This model can, but does not need to,
 be interpreted as an actor-oriented model where the nodes are
 actors whose choices determine the network evolution.
 Further information about this method, including references
 and a JAVA demo, can be found at website
http://stat.gamma.rug.nl/snijders/siena.html

 The statistical analysis is based on Monte Carlo simulations
 of the network evolution model and therefore is a bit time-consuming.
 The method in itself is rather complicated. In other aspects,
 the computer program is quite user-friendly.

 The workshop starts with a brief explanation of this
 network evolution model, and then goes on with an introduction
 to the use of SIENA, a computer program which carries out the
 statistical analysis and StOCNET, the windows shell in which
 SIENA is embedded. Various examples will be presented.

 In addition, some attention will be paid to another method
 included in StOCNET viz., BLOCKS which carries out
 stochastic blockmodeling for valued graphs.

3 hours;  $30

*********************************************************
Barry Wellman, University of Toronto [log in to unmask]

Networks for Newbies

Description:
 This is a non-technical introduction to social network
 analysis. It describes the development for social network
 analysis, some key concepts, and some key substantive methods and
 findings. It is aimed at newcomers to the field, and those who have
 only seen social network analysis as a method.

3 hours;   $45.


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