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Gephi, a data visualization tool, has been widely used in various departments at Quaero. The Analytics department leverages Gephi to …
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Product Demos
1 - 4 - 1D Gephi Demo (920)
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Gephi community analysis demo
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Gephi and Netlytic Tools Demo - Social and Network Analysis
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1 4 1D Gephi Demo 9 20)
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SELinux policy analysis tool & Gephi - visualization demo (subtitles)
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Gephi Demo 2
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What is Gephi?
Gephi Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Gephi, a data visualization tool, has been widely used in various departments at Quaero. The Analytics department leverages Gephi to analyze traffic patterns across websites, specifically in the context of social networking. By mapping how individuals are connected on a website, Gephi provides valuable insights into social network analysis. Additionally, the IT Business Systems group and some members of the Research and Product Development teams have utilized Gephi to visualize data in innovative ways. Gephi proves its versatility by analyzing not only traditional business data like financials and customer support but also DNA sequence data. Colleagues in the lab, including scientists with a math background, have explored Gephi's capabilities in visually representing sequence data.
Furthermore, individual users have found value in Gephi for their own research endeavors. One user even published a paper in the Journal of Theoretical Biology that featured a network map plotted using Gephi. It is worth noting that Gephi's user base extends beyond Quaero as well. A medium-sized company with a considerable Data team employs Gephi for their analysis needs. In this setting, Gephi supports research on social networks such as analyzing the local food movement and studying real-world networks. Moreover, it has been used by a graduate student to examine social media networks and study patterns in hashtags during natural calamities.
Beyond academia and research, Gephi finds utility in other industries too. For instance, it has been employed for network analysis of relationships between Facebook and Twitter users for political and consumer brand analysis. Furthermore, Gephi is planned to be used for analyzing commonalities between patient pools and providers in insurance recovery auditing. It has also been utilized during networking events to identify key influencers and develop strategies for growing organizations.
In summary, Gephi offers a wide range of use cases across different departments within organizations. Whether it is visualizing social network data, analyzing DNA sequences, or studying patterns in social media networks, Gephi proves to be a versatile tool that empowers users with valuable insights and visualization capabilities.
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.
Export Feature Limitations: Several users have expressed frustration with the export feature in Gephi, as it only allows for taking screenshots and does not support exporting to an image or HTML document. This limitation has been mentioned by multiple reviewers who feel that it hinders their ability to share interactive maps outside of the Gephi file format.
Compatibility Issues between Versions: Some users have encountered compatibility issues when working with different versions of Gephi. They have reported that files built in earlier builds would not work in newer builds, forcing them to run separate versions of Gephi if they wanted to access new features while still being able to recreate models built in prior versions.
Lack of Comprehensive Documentation: Multiple reviewers have suggested that Gephi should improve its documentation. While there are third-party resources available, users find it difficult to locate comprehensive information on all the features and plug-ins within the product. The absence of official documentation has been highlighted as a drawback by several customers who believe that having an official resource would greatly benefit their experience with using Gephi.
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Reviews
(1-1 of 1)Companies can't remove reviews or game the system. Here's why
April 08, 2015
Gephi - graph visualization's gateway drug
Score 7 out of 10
Vetted Review
Verified User
I am the only one using Gephi in my medium-sized company with a relatively large Data team. I needed a graph visualization software and, after looking briefly at a few reviews and features, I chose Gephi and love it. I'm still the only one using it at my company, though, because the application is still pretty advanced research for us.
- Gephi's UI, built-in layout, and built-in clustering algorithms make it very easy to get started with (assuming you have some really data and real questions you want answered).
- Gephi's force atlas layout algorithm and MCL (Louvain) clustering algorithm are both very fast, which I think is crucial for a data visualization tool, because it allows you to play with your data and do intuitive analysis.
- Gephi's visualization is pretty (and intuitive), which helped me sell the clustering techniques to un-initiated and non-technical managers and executives.
- Gephi has a pretty large community of support, so when I learn about other clustering algorithms/visualization techniques, it often already exists in a Gephi plug-in.
- I (and many others) have had to expand Gephi's memory manually by experimenting with the configuration file. I'm glad it's possible, but it should be easier.
- Gephi sometimes crashes inexplicably and loses your work, so I have developed a habit of explicitly exporting versions of my graphs as csv's, but I think this should be handled automatically in Gephi.
- Because it is prone to crash, ideally, Gephi would help the user manage his/her use, by estimating processing and memory for very large tasks and prompting the user to confirm their requests before executing. Instead, I just tend to avoid certain functions.
R is probably stronger from a statistics, mechanics, and customization stand-point, and has some plug-ins for graph visualization, but it can still be a bit of a black box, whereas Gephi is built around graph visualization, allowing you to really play with the data, even showing you the intermediate steps of the layout algorithms, which helps you understand how Gephi is making sense of the data and how you can use it more effectively. Its clickable GUI also makes it much easier to discover its functions and its beautiful outputs makes it easy to sell ideas to the un-initiated.
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