2011 Sessions

WiP
Basic
Adv
Mgmt
Crime

 

  

 

2011 Sessions

 

  

 

2011 Sessions

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

Home | Description | Schedule | Logistics | Registration | Software | Resources | Group | Blog | Contact

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

Home | Description | Logistics | Registration | Software | Resources | Group | Blog | Contact

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

 

Home | Description | Schedule | Logistics | Registration | Software | Resources | Group | Blog | Contact

 

2011 Sessions

WiP
Basic
Advanced
Mgmt
Crime

Stochastic Modeling of Networks with SIENA


Instructor: Christian Steglich

 

Location: BE-252

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

 

Day

Time

Topics

Tues

Morning

  • Stochastic actor-based models for network evolution

  • Lab: Analyzing longitudinal network data with the RSiena GUI

  • Examples of applications, interpretation of results

Afternoon

  • Lab: Analyzing longitudinal network data with RSiena scripts

  • Model specification, model selection, goodness of fit

  • Lab: Using SIENA to simulate networks

Wed

Morning

  • Models for the co-evolution of networks and actor characteristics

  • Lab: Stepwise construction of a co-evolution model

  • Examples of applications studying peer influence processes

Afternoon

  • Special data types: valued networks, multiplex networks, networks from multiple groups, affiliation networks, growth-only networks

  • Lab: Exercises with special data types

 

Readings

  • 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]

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