RSiena interface: Difference between revisions
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Longitudinal networks can be statistically analysed by using [[RSiena | RSiena]] from within visone. | Longitudinal networks can be statistically analysed by using [[RSiena | RSiena]] from within visone. | ||
Supported is the analysis of one-mode networks with fixed set of actors. Not supported are two-mode networks, multiple networks, multilevel (multi-group) networks, composition change of actors, and multi-parameter tests. | Supported is the analysis of one-mode networks with fixed set of actors. Not supported are two-mode networks, multiple networks, multilevel (multi-group) networks, composition change of actors, and multi-parameter tests. | ||
For using the RSiena interface you need a [[network collection |network collection]] | For using the RSiena interface you need to define a [[network collection |network collection]] that contains your longitudinal networks. There are two ways for defining a network collection. First, by loading an RSiena session file\footnote{same format as saved by using \texttt{Save to file} in the RSiena Gui or needed for loading files by \texttt{Load new session from file}, see \cite{rs-10}} and second, by loading data components separately as is usual in visone. | ||
Revision as of 13:00, 4 February 2011
Longitudinal networks can be statistically analysed by using RSiena from within visone. Supported is the analysis of one-mode networks with fixed set of actors. Not supported are two-mode networks, multiple networks, multilevel (multi-group) networks, composition change of actors, and multi-parameter tests. For using the RSiena interface you need to define a network collection that contains your longitudinal networks. There are two ways for defining a network collection. First, by loading an RSiena session file\footnote{same format as saved by using \texttt{Save to file} in the RSiena Gui or needed for loading files by \texttt{Load new session from file}, see \cite{rs-10}} and second, by loading data components separately as is usual in visone.
add all of the open networks that belong to your longitudinal network. Here, the order of adding defines the oder of observations.