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Commonly used and well-documented scripting tools used for network analysis include: Net Miner with Python scripting engine, the statnet suite of packages for the R statistical programming language, igraph, which has packages for R and Python, mux Viz (based on R statistical programming language and GNU Octave) for the analysis and the visualization of multilayer networks, the Network X library for Python, and the SNAP package for large-scale network analysis in C++ and Python.
Though difficult to learn, some of these open source packages are growing much faster in terms of functionality and features than privately maintained software, and extensive documentation and tutorials are available.
Visualization often also facilitates qualitative interpretation of network data.
With respect to visualization, network analysis tools are used to change the layout, colors, size and other properties of the network representation.
Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation.