Gephi

Gephi: An Open Source Software for Exploring and Manipulating Networks. Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Runs on Windows, Linux and Mac OS X. Gephi is open-source and free. Gephi is a tool for people that have to explore and understand graphs. Like Photoshop but for data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden properties. The goal is to help data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing. It is a complementary tool to traditional statistics, as visual thinking with interactive interfaces is now recognized to facilitate reasoning. This is a software for Exploratory Data Analysis, a paradigm appeared in the Visual Analytics field of research.


References in zbMATH (referenced in 64 articles )

Showing results 21 to 40 of 64.
Sorted by year (citations)
  1. Thiem, Christopher: Cross-category, trans-pacific spillovers of policy uncertainty and financial market volatility (2020)
  2. Weir, William H.; Walker, Benjamin; Zdeborová, Lenka; Mucha, Peter J.: Multilayer modularity belief propagation to assess detectability of community structure (2020)
  3. De Luca, Felice; Di Giacomo, Emilio; Didimo, Walter; Kobourov, Stephen; Liotta, Giuseppe: An experimental study on the ply number of straight-line drawings (2019)
  4. Dimitrios Michail, Joris Kinable, Barak Naveh, John V Sichi: JGraphT - A Java library for graph data structures and algorithms (2019) arXiv
  5. K. Hunter Wapman; Daniel B. Larremore: webweb: a tool for creating, displaying, and sharinginteractive network visualizations on the web (2019) not zbMATH
  6. Lum, Oliver; Golden, Bruce; Wasil, Edward: OAR lib: an open source arc routing library (2019)
  7. Aleardi, Luca Castelli; Denis, Gaspard; Fusy, Éric: Fast spherical drawing of triangulations: an experimental study of graph drawing tools (2018)
  8. Grudzien, Colin; Deka, Deepjyoti; Chertkov, Michael; Backhaus, Scott N.: Structure- and physics-preserving reductions of power grid models (2018)
  9. Hua, Jie; Huang, Mao Lin; Wang, Guohua; Zreika, Mouataz: Applying data visualization techniques for stock relationship analysis (2018)
  10. Lum, Oliver; Golden, Bruce; Wasil, Edward: An open-source desktop application for generating arc-routing benchmark instances (2018)
  11. Natapov, Asya; Czamanski, Daniel; Fisher-Gewirtzman, Dafna: A network approach to link visibility and urban activity location (2018)
  12. Sladek, Vladimir: A note on the interpretation of the efficiency centrality (2018)
  13. Xu, Taihua; Yang, Jie; Gou, Guanglei: A force-directed algorithm for drawing directed graphs symmetrically (2018)
  14. Caron, François; Fox, Emily B.: Sparse graphs using exchangeable random measures (2017)
  15. Coventry, Brandon S.; Parthasarathy, Aravindakshan; Sommer, Alexandra L.; Bartlett, Edward L.: Hierarchical winner-take-all particle swarm optimization social network for neural model fitting (2017)
  16. De Luca, Felice; Di Giacomo, Emilio; Didimo, Walter; Kobourov, Stephen; Liotta, Giuseppe: An experimental study on the ply number of straight-line drawings (2017)
  17. D. Ranathunga, H. Nguyen, M. Roughan: MGtoolkit: A python package for implementing metagraphs (2017) not zbMATH
  18. Farnadi, Golnoosh; Bach, Stephen H.; Moens, Marie-Francine; Getoor, Lise; De Cock, Martine: Soft quantification in statistical relational learning (2017)
  19. Fikar, Christian; Hirsch, Patrick: Home health care routing and scheduling: a review (2017)
  20. Frahm, Klaus M.; El Zant, Samer; Jaffrès-Runser, Katia; Shepelyansky, Dima L.: Multi-cultural Wikipedia mining of geopolitics interactions leveraging reduced Google matrix analysis (2017)