Gephi

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Gephi
Gephi-logo.png
Vendor Gephi
License GNU General Public License
Documentation github.com/gephi/gephi
Data Input GEXF, GDF, GML, GraphML, Pajek NET, GraphViz DOT, CSV, UCINET DL, Tulip TPL, Netdraw VNA, Spreadsheet
Website gephi.org/



"Gephi is a tool for data analysts and scientists keen to explore and understand graphs. Like Photoshop™ but for graph data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden patterns. 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." [1]

To expand its potential use an reach, Gephi allows for developers to create plugins, and offers those plugin directly on its website. As of 4 February 2017 there were 85 plugins available sorted into 12 categories, including expansions to import and export options, default layouts, and filters.

Plugins can also be found off of the Gephi website. A relevant plugin that would be useful for transit visualization converts GTFS to GEFX

Example Cases

  • Harvard University - Visualizing Historical Networks[2]
  • Analyzing reply networks on Twitter[3]
  • No examples of published transit projects using Gephi were found. However, there have been some informal mentions in blogs and forums of Gephi's potential in visualizing transit networks and transit access potential.[4][5]

References

  1. https://gephi.org/features/
  2. http://www.fas.harvard.edu/~histecon/visualizing/index.html
  3. Burns, Alex. "How long is a tweet? Mapping dynamic conversation networks on Twitter using Gawk and Gephi." Information, Communication & Society, vol. 15:9. 2012. http://www.tandfonline.com/doi/abs/10.1080/1369118x.2011.635214
  4. http://forum-gephi.org/viewtopic.php?f=29&t=1924 Accessed 4 February 2017
  5. https://ds.lclark.edu/aaw/2014/09/29/got-boatloads-of-data-visual-aids-to-the-rescue/ Accessed 4 February 2017

External Links