StOCNET is an open software system for the statistical analysis of social networks using advanced statistical models. StOCNET provides a platform to make a number of statistical methods, that previously were privately owned, available to a wider audience. The distinguishing feature of the methods included in the StOCNET system is that they are based on explicit probability models for networks. A wide array of statistical network methods is available (as described in The Software) for operation under Windows. The software for StOCNET has been developed in collaboration between software engineers of Science Plus, and the researchers who contributed the programs that are included in StOCNET.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Latouche, Pierre; Birmelé, Etienne; Ambroise, Christophe: Model selection in overlapping stochastic block models (2014)
- Celisse, Alain; Daudin, Jean-Jacques; Pierre, Laurent: Consistency of maximum-likelihood and variational estimators in the stochastic block model (2012)
- Latouche, Pierre; Birmelé, Etienne; Ambroise, Christophe: Overlapping stochastic block models with application to the French political blogosphere (2011)
- Agneessens, Filip; Roose, Henk: Local structural properties and attribute characteristics in 2-mode networks: p$^*$ models to map choices of theater events (2008)