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Leading the development of Gephi,
an Exploratory Networks Analysis framework
The Mission
We, Gephi Team, INIST-CNRS, Linkfluence and WebAtlas, invite others to join
us on our mission to advance the development of Gephi, a platform for
relational data visualization and analysis, through the formation of the Gephi
Consortium.

We are interested to hear from companies, research laboratories and
individuals who share our core goals:
• to build generic and reusable parts of Gephi,
• to improve the technology at low cost,
• and to create standards to ensure interoperability.
Why a Consortium?
What have research laboratories, big data companies and human societies in
common? The recurrent need to map and understand complex
phenomenons, revealing patterns and trends in relational data. Called “Data
Science”, this activity helps to turn data into products and to perform
researches on the data deluge.

But an efficient technology is mandatory to store, compute and visualize
evolving data at scale.

The Gephi project aims to provide a tool to visualize, filter and interact with
every kind of relational data in real time. A generic infrastructure and long-
term vision are the keys to overcome these challenges. The Consortium is a
solution to foster the evolution and exploitation of the Gephi project.
A Pragmatic Vision
The ability to take data -- to be able to understand it, to process it, to extract
value from it, to visualize it, to communicate it -- is already at work.

Google, Amazon, Facebook, and LinkedIn have all tapped into their
datastreams and made that the core of their success. Archeologists are more
concerned now by mining information than doing fieldwork. Citizen
organizations track interlocking directorates, while the Worldbank, US and UK
governments follow the Open Data movement. Elsevier and Thomson-Reuters
open their APIs to build high-value applications for information science.

Data visualization and analysis is the cornerstone of this evolution, and Gephi
can help in this task.
What is the Consortium?

A not-for-profit corporation under the French law of
  July 1st, 1901 – equivalent of US 501(c)(3).

• Give the community a legal structure
• Provide a research infrastructure
• Propose legal solutions to use Gephi in business

Purpose:
R&D effort to build generic and reusable parts of Gephi
Activities

• Concentrate collective efforts and apply for fundings
• Provide leadership in developments (roadmaps,
  mentoring, support)
• Organize and support the community
Cost and Involvment

                 Strategic        Corporate Membership        Individual
                Membership                                   Membership
    Fees           €10,000                €3,000                  €45
              3-year commitment     1-year commitment
  Board of      1 seat by right   As many representatives   1 representative
  Directors                        as Strategic Members


• Members elect the Management Committee
• Members vote for projects to support
• Members define expenses priorities
Benefits

• Strategic directions made according to the common
  needs of members
• Personalized business made possible
• Competitive technology improved at low cost
• Technology risk reduced by creating standards
• Connections with skilled developers and talented
  researchers
• Open innovation
Gephi in a Nutshell
             « Like Photoshop™ for graphs. »
    Helps data analysts to reveal patterns and trends,
      highlight outliers and tells story with their data.

•   Gephi is a network visualisation platform
•   Open-source, supported by a community
•   Built for performance and usability
•   Extensible, add plug-ins
•   Windows, Mac OS X, Linux
Gephi Key Figures
From 2008 to 2010:
2,000,000$   development cost – COCOMO evaluation
150,000      lines of code
33,000       software downloads
20           contributors
8            contributor countries
3            UI languages: English, French and Spanish
600,000      pages viewed/year on gephi.org
Gephi Applications

•   Social Network Analysis
•   Semantic Web
•   Visual Analytics
•   Web mapping
•   Infrastructure monitoring
•   Business networks study
•   Molecular and gene interaction research
•   …
Supported by
More information



        http://consortium.gephi.org

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Gephi Consortium Presentation

  • 1. Leading the development of Gephi, an Exploratory Networks Analysis framework
  • 2. The Mission We, Gephi Team, INIST-CNRS, Linkfluence and WebAtlas, invite others to join us on our mission to advance the development of Gephi, a platform for relational data visualization and analysis, through the formation of the Gephi Consortium. We are interested to hear from companies, research laboratories and individuals who share our core goals: • to build generic and reusable parts of Gephi, • to improve the technology at low cost, • and to create standards to ensure interoperability.
  • 3. Why a Consortium? What have research laboratories, big data companies and human societies in common? The recurrent need to map and understand complex phenomenons, revealing patterns and trends in relational data. Called “Data Science”, this activity helps to turn data into products and to perform researches on the data deluge. But an efficient technology is mandatory to store, compute and visualize evolving data at scale. The Gephi project aims to provide a tool to visualize, filter and interact with every kind of relational data in real time. A generic infrastructure and long- term vision are the keys to overcome these challenges. The Consortium is a solution to foster the evolution and exploitation of the Gephi project.
  • 4. A Pragmatic Vision The ability to take data -- to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it -- is already at work. Google, Amazon, Facebook, and LinkedIn have all tapped into their datastreams and made that the core of their success. Archeologists are more concerned now by mining information than doing fieldwork. Citizen organizations track interlocking directorates, while the Worldbank, US and UK governments follow the Open Data movement. Elsevier and Thomson-Reuters open their APIs to build high-value applications for information science. Data visualization and analysis is the cornerstone of this evolution, and Gephi can help in this task.
  • 5. What is the Consortium? A not-for-profit corporation under the French law of July 1st, 1901 – equivalent of US 501(c)(3). • Give the community a legal structure • Provide a research infrastructure • Propose legal solutions to use Gephi in business Purpose: R&D effort to build generic and reusable parts of Gephi
  • 6. Activities • Concentrate collective efforts and apply for fundings • Provide leadership in developments (roadmaps, mentoring, support) • Organize and support the community
  • 7. Cost and Involvment Strategic Corporate Membership Individual Membership Membership Fees €10,000 €3,000 €45 3-year commitment 1-year commitment Board of 1 seat by right As many representatives 1 representative Directors as Strategic Members • Members elect the Management Committee • Members vote for projects to support • Members define expenses priorities
  • 8. Benefits • Strategic directions made according to the common needs of members • Personalized business made possible • Competitive technology improved at low cost • Technology risk reduced by creating standards • Connections with skilled developers and talented researchers • Open innovation
  • 9. Gephi in a Nutshell « Like Photoshop™ for graphs. » Helps data analysts to reveal patterns and trends, highlight outliers and tells story with their data. • Gephi is a network visualisation platform • Open-source, supported by a community • Built for performance and usability • Extensible, add plug-ins • Windows, Mac OS X, Linux
  • 10. Gephi Key Figures From 2008 to 2010: 2,000,000$ development cost – COCOMO evaluation 150,000 lines of code 33,000 software downloads 20 contributors 8 contributor countries 3 UI languages: English, French and Spanish 600,000 pages viewed/year on gephi.org
  • 11. Gephi Applications • Social Network Analysis • Semantic Web • Visual Analytics • Web mapping • Infrastructure monitoring • Business networks study • Molecular and gene interaction research • …
  • 13. More information http://consortium.gephi.org