Gephi is an open-source software for visualizing and analyzing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. Use Gephi to explore, analyse, spatialise, filter, cluterize, manipulate and export all types of graphs.
VisualComplexity.com intends to be a unified resource space for anyone interested in the visualization of complex networks. The project's main goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as Biology, Social Networks or the World Wide Web.
P. Chapman, G. Stapleton, J. Howse, and I. Oliver. 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), page 87-94. (September 2011)
S. Jänicke, T. Efer, M. Büchler, and G. Scheuermann. Computer Vision, Imaging and Computer Graphics - Theory and Applications, page 153--171. Cham, Springer International Publishing, (2015)
S. Jänicke, T. Efer, M. Büchler, and G. Scheuermann. Computer Vision, Imaging and Computer Graphics - Theory and Applications, page 153--171. Cham, Springer International Publishing, (2015)
S. Kuznetsov, and S. Obiedkov. Principles of Data Mining and Knowledge Discovery, page 289--300. Berlin, Heidelberg, Springer Berlin Heidelberg, (2001)
J. Matejka, T. Grossman, and G. Fitzmaurice. CHI '12 Extended Abstracts on Human Factors in Computing Systems, page 181--190. New York, NY, USA, ACM, (2012)
M. Wu, R. Faris, and K. Ma. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, page 779--786. New York, NY, USA, ACM, (2013)
D. Shahaf, J. Yang, C. Suen, J. Jacobs, H. Wang, and J. Leskovec. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1097--1105. New York, NY, USA, ACM, (2013)
D. Shahaf, C. Guestrin, and E. Horvitz. Proceedings of the 21st International Conference on World Wide Web, page 899--908. New York, NY, USA, ACM, (2012)