For example, degree centrality can be run on networks of tens of thousands of nodes, and most graph theoretic routines run faster when you have very few ties, no matter how many nodes you have. However, this varies depending on the specific analysis and the sparseness of the network. While the absolute maximum network size is about 2 million nodes, in practice most UCINET procedures are too slow to run networks larger than about 5000 nodes.Remember, however, that even if a really large dataset fits in memory, it may take too long to analyze. If you have large data and a 64-bit version of Windows, you can try experimental 64-bit version, in which case 8GB of RAM or more would be useful. The more RAM the better, but the 32-bit version can't take advantage of more than 3GB of memory.100mb of disk space for the program itself (not including your data).A limited 64-bit version is available but does not have all UCINET functions The 32-bit version is the standard one and runs on both 32bit and 64bit Windows systems.
If you have a Mac or Linux, you can run UCINET via BootCamp, VMFusion Ware, Parallels or Wine.
#MATHCAD FOR MAC WINE SOFTWARE#
Ucinet for Windows: Software for Social Network Analysis. It comes with the NetDraw network visualization tool. It was developed by Lin Freeman, Martin Everett and Steve Borgatti.
UCINET 6 for Windows is a software package for the analysis of social network data.
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