UCINET is a comprehensive program for the analysis of social networks and other proximity data. The program contains dozens of network analytic routines (e.g., centrality measures, dyadic cohesion measures, positional analysis algorithms, clique finders, etc.), stochastic dyad models (P1), network hypothesis testing procedures (including QAP matrix correlation/regression and categorical and continuous attribute autocorrelation tests), plus general statistical and multivariate analysis tools such as multidimensional scaling, correspondence analysis, factor analysis, cluster analysis, multiple regression, etc. In addition, UCINET, the ultimate product for network analysis, provides a host of data management and transformation tools ranging from graph-theoretic procedures to a full-featured matrix algebra language.

Ucinet features

- Measures of structural holes and other ego network attributes (Burt, 1992)
- Ability to construct bipartite graphs from 2-mode data
- Factor analysis of 2-mode data
- Fitting of core/periphery models
- Permutation-based statistical procedures for testing a wide range of hypotheses involving network data
- Ability to import and export Excel files
- Graphical scatterplots and dendrograms
- Ability to handle large datasets, limited only by the amt. of memory available
- Numerous minor improvements, such as additional input data formats, multiple output windows, and more powerful spreadsheet
- Faster execution -- up to twice as fast, thanks to 32-bit processing