UCINET Software

UCINET 6 for Windows is a free 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.

Customer Support

For customer support contact roberta@analytictech.com. For tech support join the users group or contact support@analytictech.com. 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. It is not necessary to uninstall previous versions (but doesn't hurt).

Download 

• To download the current version of program, visit the download page 

• To see what's new in the current version, and to download older versions, visit the versions page.

• The program no longer needs a userid and registration code to operate

• You are welcome to redistribute the program

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. Also, your institution can run UCINET virtually via a Citrix Virtual Den

• 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.