Crude speaking, Social Network Analysis (SNA), is the analysis of social relationships in terms of mathematical graphs.
Since 2005, I develop Social Network Visualizer (SocNetV), an open-source GUI application for network analysis and visualization. SocNetV lets you create, load and visualize networks of various formats (GraphViz, Adjacency, Pajek, GraphML, etc), and/or visually create and modify a network using your mouse. Statistics such as centralities, diameter, etc, are easily computer and there’s even some documentation to get you started, in case you don’t know what is SNA!
SocNetV has been reviewed in many Social Network Analysis books, i.e.
- Big Data Analytics: A Practical Guide for Managers (2015), By Kim H. Pries, Robert Dunnigan. Page
- Software Engineering, Business Continuity, and Education (2011), Edited by Tai-hoon Kim, Hojjat Adeli, Haeng-Kon Kim, Heau-jo Kang, Kyung Jung Kim, Akingbehin Kiumi, Byeong-Ho Ka
- Quantitative Graph Theory: Mathematical Foundations and Applications (2014), Edited by Matthias Dehmer, Frank Emmert-Streib
The application is being developed on C++ and Qt toolkit, which means that it can run on Linux, Windows, and Mac. If you want to play with it (or do some serious research), grab the latest SocNetV version (binaries are also provided) from the project’s website:
If you are interested, visit the International Network for Social Network Analysis website for further info and research related to SNA.