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SIENA



SIENA is a statistical model and associated computer program for analyzing network change. It is closely related to exponential random graph models (which can also be estimated using the SIENA program).

 

Class will be taught by guest lecturer Christian Troester, who is currently a PhD candidate at Rotterdam School of Management in his third year. He has a background in sociology and social psychology. His research interests are interpersonal relationships and their consequences for status, organizational citizenship behaviors, and deviant work behaviors. In particular, he is interested in the questions how these relationships are embedded in dyads, social structures, and groups. He usually applies multilevel analysis and network analysis for hypothesis testing.

 

Topics

  • Actor-oriented simulation models

Readings

  • Snijders, T.A.B., Steglich, C.E.G., and van de Bunt, G.G. (2009. Introduction to actor-based models for network dynamics. Social Networks, in press.
    This is a tutorial.
    [pdf]

  • Tom A.B. Snijders, Christian E.G. Steglich, Michael Schweinberger. Modeling the co-evolution of networks and behavior. 2005. [pdf]

  • Gerhard G. van de Bunt, Peter Groenewegen. An Actor-Oriented Dynamic Network Approach: The Case
    of Interorganizational Network Evolution. Organizational Research Methods [pdf]

 

Slides

Software

Data

  • van de Bunt student data [zip]
  • description of these data [html]

Links


Additional

  • Snijders, Longitudinal Methods of Network Analysis. [pdf]

 

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