Gephi Educational Services Reviews & Insights

Score6 out of 10

17 Reviews and Ratings

Community insights

TrustRadius Insights for Gephi are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Easy-to-use Interface: Many reviewers have found Gephi's interface to be very user-friendly and intuitive, allowing them to quickly access the tools they need without much training or learning required.

Simple Data Import Process: Several users have praised Gephi for its simple and easy data import process, especially when working with CSV files. The software automatically generates a graph once the relevant data is loaded and mapped together, making it convenient for users.

Flexible Visualization Capabilities: Numerous reviewers highly regard Gephi's visualization capabilities. They appreciate how easy it is to edit, drag, and customize visualizations in the software. The flexibility to change the size and color of nodes and edges allows for representing different characteristics of the graph effectively.

Gephi Reviews

1 Review

Educational ServicesHigher Education1

Gephi for local food system social network analysis

Rating: 10 out of 10

Incentivized

September 6, 2016

Use Cases and Deployment Scope

I use Gephi in my research on social networks for the local food movement. Gephi allows me to write specific analysis programs and gather data on farm product movement through space in both distance and directionality while also analyzing the embeddedness of social networks.

Pros

Gephi enables me to create beautiful, publication-ready graphical images.
I can write programs to be incorporated in Gephi.
The open-source platform provides versatility and the GUI allows easy use.

Cons

I wish the geo layout function worked consistently, but I have learned to work around some of the quirks with the layout view.

Likelihood to Recommend

Gephi is wonderfully suited for research and conducting follow-up social network analysis that GIS is too cumbersome for. It is less-well-suited for spatial statistical modeling, which is easier in programs like GeoDA, Stata, R, and GIS.

Catherine Brinkley

Assistant Professor and Assistant City and Regional Planner in Research & Development at UC Davis (Higher Education, 10,001+ employees)

Vetted Review

5 years of experience

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