Social Network Analysis(SNA) methods are applied in a variety of social science problems to quantify features of relationships between people or organizations. Some example application areas are scientific co-authorship analysis, inter-firm strategic partnership relations, open source collaboration communities, etc. Most SNA methods are based on representing social structures as graphs, but uses its own ways to meausure graph features. pySNA is a library which can be used for manipulation, analysis and visualization of graphs to represent social networks. It has features for dynamic, longitudinal analysis of social networks, which is not common in other SNA software. pySNA uses power of Graphviz, Numpy and RPy for visualization and statistical analysis. I am developing pySNA on my own, as a part of my PhD study. If you have questions, bugs to report, or features you'd like to see in pySNA, please contact me directly: mgencer@cs.bilgi.edu.tr pySNA is released under the terms of GNU General Public License, v3. Mehmet Gencer -------------------------- <P><A HREF="http://www.menslibera.com.tr/pysna/">pySNA - Python Social Network Analysis Library - v0.3.0</A> Library for manipulation, visualization, static and dynamic analysis of social networks. (10-Mar-2008)