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.
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Gephi Reviews
3 Reviews
Professional, Scientific, and Technical ServicesInformation Technology & Services1Marketing & Advertising1Research1
We used Gephi as the last phase of our big data analysis pipeline. After generating the desired metrics with Hadoop, and using a Java interface we could generate fully customized, sophisticated and intuitive pictures of our results, so that our customer could make sense of the huge complexity of the problem and the proposed solution to improve their business.
Pros
Clustering
Visualization
Customization
Cons
Documentation on how to use Gephi as a library is not enough.
Performance of algorithms might be improved by making use of GPU power in recent computers.
Likelihood to Recommend
Do you know what type of clustering you need to best explain your data? If not, then Gephi GUI is your tool.
Once you know what type of clustering algorithms you want, then Gephi as a library is even better.
VU
Verified User
Engineer in Research & Development (Research company, 11-50 employees)
At Quaero, we've used Gephi primarily in our Analytics department for visualizations around social networking. We've used it to look at traffic patterns across websites. This helps as we have discussions with our clients to give them insight into site design and where changes in flow may need to be made. We've also used it to map how individuals are connected across the site, more of a classic social network analysis exercise.
Pros
Gephi has a very easy interface to use and get to the tools you need quickly. Without much training or learning, it's pretty simple to figure out.
The data import process is very easy in CSV format and the software produces a graph automatically once the correct data is loaded and mapped together (edges and nodes).
The visualization is very easy to edit, drag around, and customize. There is flexibility to change the size and color of nodes and edges to represent various characteristics of the graph.
Cons
In Gephi, there's really not a great export feature for the map you've created. Screenshots can be taken, but you can't currently export to an image or HTML document.
All the interactivity is lost if not using the Gephi file itself. A screenshot does not have nearly the impact as if you could move the edges and nodes around like you can in the software itself.
All the text label size is edited by one master control. It would be nice if this would size proportionately with the size of the nodes or if this could be a manual selection at times. With all the edges flowing around, sometimes it's hard to read the text if it's too small or too large.
Likelihood to Recommend
It is well suited for projects that are more discovery related. If this is a one-time project that we create a visual for, this would definitely make sense to use. If this is an ongoing analysis (monthly for example), we might look to another software that we would be able to automate a little further in how the visualization comes together.
I used Gephi primarily during my graduate study for a course on Analyzing social media network. I have used Gephi along with Node XL for studying social media networks primarily Facebook and Twitter. It was also used during the final project for determining patterns in hash-tags used via Twitter, Facebook and Instagram during natural calamity and how that aided government and other organizations (radio channels) in sending important message across masses.
Pros
Visualization of any graph based network. A visual network is easier to comprehend than have a table displaying the relation
It provides several algorithms that can help in data clustering based on the input parameters (no. of nodes, degree and such).
There are several statistics that can be run on the data to obtain useful information like betweenness, modularity, avg. degree which prove crucial for analysis
Cons
NodeXL is a similar tool as part of Microsoft Excel and it provides a feature of connecting with social media websites and extracting data from there, however Gephi depends on third-party apps for such service.
Likelihood to Recommend
It is a perfect tool for analyzing social media and other similar graphed networks (transportation system). It can be used to develop social profile of individuals and I see a lot of scope in the advertising industry of this particular product for micro targeting consumers.
