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 48 articles )

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  1. Ardekani, Aref Mahdavi; Distinguin, Isabelle; Tarazi, Amine: Do banks change their liquidity ratios based on network characteristics? (2020)
  2. Benzi, Michele; Fika, Paraskevi; Mitrouli, Marilena: Performance and stability of direct methods for computing generalized inverses of the graph Laplacian (2020)
  3. Bombina, Polina; Ames, Brendan: Convex optimization for the densest subgraph and densest submatrix problems (2020)
  4. Candogan, Ozan; Drakopoulos, Kimon: Optimal signaling of content accuracy: engagement vs. misinformation (2020)
  5. Fardin Ghorbani, Soheil Hashemi, Ali Abdolali, Mohammad Soleimani: EEGsig machine learning-based toolbox for End-to-End EEG signal processing (2020) arXiv
  6. Marcus, Richard; Kohlhase, Michael; Rabe, Florian: TGView3D: a system for 3-dimensional visualization of theory graphs (2020)
  7. Michail, Dimitrios; Kinable, Joris; Naveh, Barak; Sichi, John V.: JGraphT -- a Java library for graph data structures and algorithms (2020)
  8. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  9. Taglieber, Klemens; Freiberg, Uta: Random graphs and their subgraphs (2020)
  10. De Luca, Felice; Di Giacomo, Emilio; Didimo, Walter; Kobourov, Stephen; Liotta, Giuseppe: An experimental study on the ply number of straight-line drawings (2019)
  11. Dimitrios Michail, Joris Kinable, Barak Naveh, John V Sichi: JGraphT - A Java library for graph data structures and algorithms (2019) arXiv
  12. K. Hunter Wapman; Daniel B. Larremore: webweb: a tool for creating, displaying, and sharinginteractive network visualizations on the web (2019) not zbMATH
  13. Aleardi, Luca Castelli; Denis, Gaspard; Fusy, Éric: Fast spherical drawing of triangulations: an experimental study of graph drawing tools (2018)
  14. Grudzien, Colin; Deka, Deepjyoti; Chertkov, Michael; Backhaus, Scott N.: Structure- and physics-preserving reductions of power grid models (2018)
  15. Lum, Oliver; Golden, Bruce; Wasil, Edward: An open-source desktop application for generating arc-routing benchmark instances (2018)
  16. Natapov, Asya; Czamanski, Daniel; Fisher-Gewirtzman, Dafna: A network approach to link visibility and urban activity location (2018)
  17. Sladek, Vladimir: A note on the interpretation of the efficiency centrality (2018)
  18. Xu, Taihua; Yang, Jie; Gou, Guanglei: A force-directed algorithm for drawing directed graphs symmetrically (2018)
  19. Caron, François; Fox, Emily B.: Sparse graphs using exchangeable random measures (2017)
  20. 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)

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