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7th conference on Applications of Social Network Analysis (ASNA 2010),
Zürich, September 15, 2010.
Workshop
The Analysis of Longitudinal Social Network Data using
Siena, taught by Johan Koskinen and Tom Snijders.
Workshop materials
- Lecture notes:
Tom A.B. Snijders and Johan K. Koskinen,
An Introduction to Stochastic Actor Oriented Models (transparencies)
An Introduction to Stochastic Actor Oriented Models (handout format)
- R reference card.
- Ruth M. Ripley and Tom A.B. Snijders,
Manual for Siena 4.0.
- R scripts:
- RscriptDataFormat.R
with some basic information about R, networks, data formats etc;
with an example data file arclistdata.dat.
- s50 data set, a 50-actor excerpt from the Teenage Friends and Lifestyle Study data set
of West et al.:
description and
data set (longitudinal, 3 waves, networks and behaviour);
-
RscriptSienaVariableFormat.R
for how to specify data as variables in RSiena, and specify the model;
-
RscriptSienaRunModel.R
for how to carry out the estimation and look at the results;
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RscriptSienaBehaviour.R
for how to specify models for dynamics of networks and behaviour;
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RscriptSienaMultiple.R
for how to specify models for dynamics of multiple networks;
manufactured data set (longitudinal, 2 waves, 2 networks);
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vdB_tt.R
an example of testing time heterogeneity, using the van de Bunt data set;
- van de Bunt students data description and
data set (longitudinal)
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Assignment about homophily and transitivity,
using one of the school classes of Andrea Knecht;
-
RscriptASNAassignement.R
Script for the assignment.
- description and
data set
of the data (longitudinal, networks and behavior)
collected by Andrea Knecht.
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