Although several excellent software solutions exist for the analysis and handling of network data, their proprietary nature makes it difficult to experiment with and develop new heuristics and algorithms. With the exception of the R language, as evident in the various network-oriented modules that exist in the R language, it is therefore somewhat difficult to develop and test new analytical procedures for subsequent dissemination among the research community.

This project is concerned with the development of a software suite for network analysis, focusing in particular on dataset conversion and handling, role analysis/blockmodeling, second-order ties, and simultaneous handling of attributional and relational data. Although its principal objective is to act as a development framework for the subsequent of novel methods and heuristics at CNS, the program will be released as freeware when finished.