Stochastic Blockmodeling of One-Mode and Linked Networks
Finds the active model's parameters
Function that computes integrated classification likelihood based on s...
Function that computes criterion function used in stochastic one-mode ...
StochBlock: Stochastic Blockmodeling of One-Mode and Linked Networks
Function that performs stochastic one-mode and linked blockmodeling by...
A function for using k-means to initialized the stochastic one-mode an...
A function for optimizing multiple random partitions using stochastic ...
Computes weights for parts of the multilevel network based on random e...
Stochastic blockmodeling of one-mode and linked networks as implemented in Škulj and Žiberna (2022) <doi:10.1016/j.socnet.2022.02.001>. The optimization is done via CEM (Classification Expectation Maximization) algorithm that can be initialized by random partitions or the results of k-means algorithm. The development of this package is financially supported by the Slovenian Research Agency (<https://www.arrs.si/>) within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).