Gephi

Gephi is an open-source software for graph and network analysis. It uses a 3D render engine to display large graphs in real-time and to speed up the exploration. Gephi combines built-in functionalities and flexible architecture to:

• explore
• analyze
• spatialize
• filter
• cluterize
• manipulate
• export

all types of networks.

Gephi is based on a visualize-and-manipulate paradigm which allow any user to discover networks and data properties. Moreover, it is designed to follow the chain of a case study, from data file to nice printable maps.

Gephi is a free/libre software distributed under the GPL 3 ("GNU General Public License").

Tags: network, network science, infoviz, visualization, graph, graph theory, complex network, software, open source, science

Gephi team

Young engineers and researchers in computer sciences, we are particularly interested in web mining, network sciences / complex networks and information visualization.

Project manager : Mathieu Bastian <>

Other members : Mathieu Jacomy, Sebastien Heymann, Julian Bilcke, Patrick McSweney, Jeremy Subtil, Helder Suzuki

See details here.

We are recruiting !

WebAtlas

Gephi was initially produced by the French NGO WebAtlas. The project was intended to explore and analyze web networks, but turned in a more ambitious way, helped by an active team of young engineers. The aim of the project is to propose Gephi as a free software and build an active community. Gephi is now supported by the new NGO "Association Gephi". http://www.webatlas.fr

About Network Science

Network Science is a new and emerging scientific discipline that examines the interconnections among diverse physical, informational, biological, cognitive, and social networks. This field of science seeks to discover common principles, algorithms and tools that govern network behavior. The National Research Council defines Network Science as "the organized knowledge of networks based on their study using the scientific method." In this context, network visualization brings a complementary way to statistical analysis to discover, extract and classify new patterns in network structure and data.

Learn more: http://en.wikipedia.org/wiki/Network_science
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