UCINET 6 for Windows is a software package for the analysis of social network data. It was developed by Lin Freeman, Martin Everett and Steve Borgatti. It comes with the NetDraw network visualization tool. If you use the software, please cite it. Here is a sample citation:
Borgatti, S.P., Everett, M.G. and Freeman, L.C. 2002. Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
Note that the publication date should not be updated -- otherwise Google Scholar doesn't recognize it as the same work.
For customer support (e.g., ordering info, billing etc) contact email@example.com. For tech support join the users group or contact firstname.lastname@example.org. We prefer you try the users group first since the answer to your question may benefit others.
In addition, you should check out the support page, which includes useful things like tutorial exercises.
Fixes, improvements, upgrades
UCINET is constantly being upgraded to fix problems, provide new capabilities, or generally make things better. To learn about recent changes, click on versions. Note that you can download a more recent version any time.
Download and/or Purchase
The program can be downloaded and used for free for 90 days. In addition, students can purchase the downloaded program for $40. Faculty and government can purchase the downloaded program for $150, and all others pay $250. Site licenses and extremely generous volume discounts are available.
For more details, including questions about taxes, shipping costs, payment methods, etc., please visit the Order Info page.
You are allowed to install the program on all of your machines,
Requirements and Specifications
Windows operating system Vista or later. If you have a Mac or Linux, you can run UCINET via a Windows emulator, such as Parallels or Oracle VM VirtualBox.
100mb of disk space for the program itself (not including your data)
The installation program installs both a 32-bit version and a 64-bit version. The 32-bit version can't take advantage of more than 3GB of memory. If you have large data and a 64-bit version of Windows, you can use the 64-bit version, in which case 8GB of RAM or more would be useful. Remember, however, that even if a really large dataset fits in memory, it may take too long to analyze.
While the absolute maximum network size is 32767 nodes, in practice most UCINET procedures are too slow to run networks larger than about 5000 nodes. However, this varies depending on the specific analysis and the sparseness of the network. For example, UCINET can calculate the geodesic distance between all pairs of points in a network of 5000 nodes and 1.25 million edges in 14 seconds. But beta centrality on the same network would take too long to be practical.