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Convener in chief:


David Lazer
(Methodology, Networked Governance)

Editors:


Stanley Wasserman
(Current Trends, Methodology, Social Networks)

Allan Friedman
(Simulations)

Nathan Eagle
(Technology, Social Computing, Powerlaws, Current Trends)

Ben Waber
(Technology, Social Computing)
Thomas Langenberg
(Technology, Social Computing, Social Networks, Current Trends)

Ines Mergel
(Knowledge Sharing, Social Computing, Social Software, Current Trends)

Brian Rubineau
(Social Dynamics, Societal Networks, Simulations)

Maria Binz-Scharf
(Qualitative Methodology, Knowledge Sharing, eGovernment)

Jeff Boase
(Technology, Societal networks)

Alexander Schellong
(Admin, eGovernment, Citizen Relationship Management)

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« Darrell West on : "Global Perspectives on E-Government" | Main | Nature editorial-- A matter of trust: Social scientists studying electronic interactions must take the lead on preserving data security »

12 October 2007

Snijders workshop on “Analyzing longitudinal social network data using SIENA”

Full-day workshop “Analyzing longitudinal social network data using SIENA”
Kennedy School of Government, Harvard University
November 6, 2007

Tom A.B. Snijders, University of Oxford


This one-day course is designed primarily for researchers who are currently doing longitudinal social network research or who expect to do so in the future. More specifically, the course is about how to analyse panel data on complete social networks; ``complete’’ meaning that the collection of all network ties within one or several groups is being studied, ``panel” that it is observed at two or more discrete moments in time. The course will treat statistical modelling of network dynamics according to the stochastic actor-oriented approach (Snijders 2001, 2005) as well as the recent extension to the co-evolution of networks and behavior. The computer program SIENA will be used.

There will be the opportunity to discuss questions about the analysis of participants’ data sets, although the one-day restriction will not permit to do practical analyses of those data. The use of the program will be demonstrated, and participants are strongly encouraged to bring a laptop with SIENA installed in advance so as to be able to duplicate the analyses during the session. The program can be downloaded freely .

It is expected that participants have a basic knowledge of social network analysis and of statistical modeling. No prior knowledge of statistical models for networks, or of the SIENA program, is assumed. Further information and publications about this method and software can be found here.

For this event registration is required (space is limited). To register, please send an email to Ines Mergel: netgov@ksg.harvard.edu. We will inform participants about their status within the next two weeks. There is a $50 course fee, which will include lunch.

Posted by David Lazer at October 12, 2007 10:38 AM