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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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Gephi community analysis demo
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Gephi and Netlytic Tools Demo - Social and Network Analysis
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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
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April 27, 2016
Gephi - For Metrics
Score 7 out of 10
Vetted Review
Verified User
I basically use it for my research on real world networks. My professor helped me in learning about Gephi initially. I use it for calculating centrality metrics on my edge lists. It is not used organizational level. My professor advised me to use this.
- As far as my experience gephi provides good mathematical results in calculating Metrics
- Its helpful as we can directly import our data which is in a .csv file
- Saving the analyzed data to a .csv is a plus. Its easy to run all the metrics by single click
- We can filter the columns of metrics and we can export only those we need.
- Visualization. Not much graphical as of now in Gephi
- UI can be much improved. Gets confused between different tabs when used after a long gap.
- CytoScape
Both are good. Gephi for Calculation and Cytoscape for visualization
- Faster access
- No Idea about the Business as I am not using it in an organizational level
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.
1
Data Analysis
November 04, 2014
Gui-Based Graph Builder That Anyone Can Use
Score 10 out of 10
Vetted Review
Verified User
Currently, Gephi is being used by the IT Business Systems group and perhaps a few members of Research and Product Development. The IT group is always looking for new and interesting ways to visualize our data, and Gephi was the first tool I found that had a quick and easy way to load and analyze data from a graph-centric point of view. The data i played with was a mixture of both traditional business data (financials, customer support, et al) and some DNA sequence data. I shared some of the graphing models with colleagues throughout the lab, and a few of the scientists with a math background gave Gephi for a test run as well. They too are also on the hunt for new/cool ways to visually represent sequence data.
- In comparison to other tools such as GraphWiz or Circos, Gephi comes with an intuitive, easy-to-use interface that makes it easy to load your data, and quickly start building all sorts of different graphs. There's absolutely no code that needs to be written for either loading or modeling. And without downloading additional plug-ins, Gephi ships with quite a few standard graph models, as well as some "fun" extras such as the Sierpinski triangle, and a variety of force atlas types.
- Most of the layout types (maybe all) are highly configurable, which can make for extremely customized and unique displays of your data. Again, none of this requires the user to write any code. That said, it is possible to script custom functionality for your models, or even update the Java source code yourself, if you feel like getting technical. Gephi builds are available on GitHub, and the developers encourage people to contribute ideas, improvements, and plug-ins.
- There's a plug-in for Gephi that allows for streaming data to update your model. This essentially allows you to create near realtime graphs of your data in motion. This plug-in was by far the biggest reaston we invested time in the product; to create animated data visualizations without exhaustive hours in development.
- At one point, there was an issue with files built in earlier builds not working in newer builds. I typically like to update products as soon as updates are available, but i wound up having to run separate version of Gephi if i wanted to check out what was new. Any models built in prior versions would then have to be recreated in newer versions if I wanted to leverage new features.
- Documentation; you can never have enough of it. Since much of the product is being built by a variety of contributors, it's hard to document how all the features and plug-ins work. It would be great if the the Gephi team could find a body of resources to manage some sort of global product documentation. There are plenty of 3rd party videos and documents online, however, that do cover some of the specifics.
There are tools out there that can probably handle much larger datasets, however. Gephi's strength is in its ease-of-use and out-of-the box readiness. Again, there's literally no code writing required to do some pretty powerful things. Being able to open the product and get to work makes up for a short list of shortcomings. Long story short, I chose Gephi because I could do something with it, rather than trying to remember what I learned in a Perl scripting class 15 years ago.
April 26, 2014
Gephi review
Score 7 out of 10
Vetted Review
Verified User
I worked for a digital media startup doing political and consumer brand analysis. I used Gephi for network analysis of relationships between facebook and twitter users to do GOTV outreach. I am now in insurance recovery auditing and plan to use it for analysis of commonalities between patient pools and providers who overcharge for services.
- Define strength of relationships based on custom weighting variables.
- Common algorithms for defining connectedness
- Visualizations run on a spreadsheet-formatted table, which makes use more intuitive to non-programming experts
- Would like to see better documentation on the product in general.
- Make spreadsheet-based data backend more user friendly
- Better options for tailoring predefined algorithms.
- Needs to have direct hookup to live data sources (SQL server, Hadoop, Google Analytics, etc)
- Led to more accurate GOTV programs by visualizing social linkagers between potential voters.
- NodeXL
Gephi is better than NodeXL. More robust and user-friendly, more options for adjusting visualizations. However, Excel is more convenient for most business analyst users and supported in most environments.
April 26, 2014
Network Analysis with Gephi
Score 9 out of 10
Vetted Review
Verified User
I have used Gephi personally, for my own research. I have a 2014 paper published in the Journal of Theoretical Biology in which I present a network map plotted with Gephi (Hala and Huggett 2014).
- Excellent construction and visualization of network graphs.
- Excellent 'mapping' of edge weights to network graphs.
- Convenient calculations of graph metrics such as degree and betweenness centrality.
- Maybe an easier way to import data. I had to import source data as a Pajek file.
- Gephi produces very high quality images that are suitable for publication in high tier journals.
I have used Pajek in the past. Gephi has a more user friendly interface and allows better visualization and presentation of network maps.