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Stochastic Modeling of
Networks with SIENA
This is a 2-day workshop providing a comprehensive
introduction to stochastic actor-based modeling of network evolution. Special
attention is given to the modeling of peer influence in a dynamic social network
context. The software used is the SIENA program
in its implementation as the R package RSiena.
Christian Steglich is one of the developers of SIENA.
Schedule
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Day |
Time |
Topics |
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Tues |
Morning |
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Stochastic actor-based models for
network evolution
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Lab: Analyzing longitudinal network
data with the RSiena GUI
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Examples of applications,
interpretation of results
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Afternoon |
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Lab: Analyzing longitudinal network
data with RSiena scripts
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Model specification, model selection,
goodness of fit
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Lab: Using SIENA to simulate networks
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Wed |
Morning |
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Models for the co-evolution of networks
and actor characteristics
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Lab: Stepwise construction of a
co-evolution model
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Examples of applications studying peer
influence processes
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Afternoon |
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Special data types: valued networks,
multiplex networks, networks from multiple groups,
affiliation networks, growth-only networks
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Lab: Exercises with special data types
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Readings
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Snijders, T.A.B., G.G.
van de Bunt, Ch. Steglich (2010). Introduction to stochastic actor-based
models for network dynamics. Social
Networks 32: 44-60. [journal
link or preprint
pdf]
Steglich, Ch., T.A.B. Snijders, P. West
(2006). Applying SIENA: An illustrative analysis of the coevolution of
adolescents' friendship networks, taste in music, and alcohol consumption. Methodology,
2, 48-56. [journal link
or pdf]
Handouts & Slides
The 2010 slides will be posted soon; below are the slides from last year.
Contact
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