This software is a translation into C++ of the excellent Webgraph library by P. Boldi and S. Vigna. The original library, written in Java, is easy to use but hampered by some requirements of the Java virtual machine. This C++ translation attempts to preserve much of the ease of use (through integration with the Boost Graph Library), but bypass requirements imposed by a virtual machine.
Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...
JUNG — the Java Universal Network/Graph Framework--is a software library that provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. It is written in Java, which allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries.
O. Corby, R. Dieng, and C. Hébert. Conceptual Structures: Logical, Linguistic, and Computational
Issues, 8th International Conference on Conceptual Structures,
ICCS 2000, Darmstadt, Germany, August 14-18, 2000, Proceedings, volume 1867 of LNCS, page 468--482. Springer, (2000)
G. Feng, T. Liu, Y. Wang, Y. Bao, Z. Ma, X. Zhang, and W. Ma. SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page 75--82. New York, NY, USA, ACM Press, (2006)
R. Baeza-Yates, P. Boldi, and C. Castillo. SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page 308--315. New York, NY, USA, ACM Press, (2006)
A. Schenker, H. Bunke, M. Last, and A. Kandel. Document Analysis Systems, volume 3163 of Lecture Notes in Computer Science, page 401-412. Springer, (2004)
C. Schmitz, A. Hotho, R. Jäschke, and G. Stumme. Proceedings of the 3rd European Semantic Web Conference, volume 4011 of LNCS, page 530-544. Budva, Montenegro, Springer, (June 2006)
C. Tantipathananandh, T. Berger-Wolf, and D. Kempe. KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, page 717--726. New York, NY, USA, ACM, (2007)
R. Bekkerman, R. El-Yaniv, and A. McCallum. ICML '05: Proceedings of the 22nd international conference on Machine learning, page 41--48. New York, NY, USA, ACM Press, (2005)