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

Module
Stochastic Modeling of Networks with SIENA


Instructors: Christian Steglich,

Location: B&E 2488

 

Evaluate Course

This is a 3-day workshop providing a comprehensive introduction to stochastic modeling of complete social networks. Foci of the workshop are the analysis of longitudinal network data by stochastic actor-based models and the analysis of cross-sectional network data by exponential random graph models (ERGMs, also known as p* models). For both types of analysis, the software used is the SIENA program, which is part of the StOCNET program package. Christian Steglich is one of the developers of the SIENA model.

Schedule

Day

Time

Topics

Tues

Morning

  • Introduction to stochastic modeling of networks

  • Cross-sectional and longitudinal approaches

  • Lab: Getting acquainted with the StOCNET interface

Afternoon

  • Stochastic actor-based models for network evolution

  • Examples of applications, interpretation of results

  • Lab: Analyzing longitudinal network data with the SIENA module

Wed

Morning

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

  • Model specification, model selection, goodness of fit

  • Lab: Stepwise construction of a co-evolution model

Afternoon

  • Estimation by simulation: principles and problems

  • Approaching stochastic equilibrium: towards ERGMs

  • Lab: Using SIENA to simulate networks

Thurs

Morning

  • Introduction to exponential random graph models

  • Dyad dependence assumptions, model selection, goodness of fit

  • Lab: Analyzing cross-sectional network data with the SIENA module

Afternoon

  • Estimation in other program environments: statnet, PNet, batch mode SIENA

  • More complex data types: valued, multiplex, multilevel, bipartite, growth

  • Lab: Running SIENA outside StOCNET

Readings

  • Robins, G., P. Pattison, Y. Kalish, and D. Lusher (2007). On exponential random graph models for cross-sectional analysis of complete networks: An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2): 173-191 [pdf]

  • Snijders, T.A.B., G.G. van de Bunt, and Ch. Steglich (2009). On actor-based models for network evolution: Introduction to stochastic actor-based models for network dynamics. Social Networks. [pdf]

  • Steglich, Ch., T.A.B. Snijders, P West (2006). On co-evolution of networks and individual characteristics of the network actors: Applying SIENA: An illustrative analysis of the coevolution of adolescents' friendship networks, taste in music, and alcohol consumption. Methodology, 2, 48--56. [pdf]

Handouts & Slides

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