Gephi

What do you like best?

Gephi is an open source network visualization tool that can be installed on a desktop. It is extremely simple to use requires almost no coding to perform important tasks. The ability to calculate important variables and community models as well as instantly visualize them within seconds is unparalleled. The software is free which is a huge plus and the website has really good tutorials on how to use the software.

What do you dislike?

I had to install Java separately to get Gephi to work correctly. My recommendation is that as Gephi is being installed, the user should be prompted to install Java first before the Gephi installation can go through. Also, some of the locations of the buttons have changed from the previous versions.

Recommendations to others considering the product:

My recommendation is that as Gephi is being installed, the user should be prompted to install Java first before the Gephi installation can go through. Also, it would be great if a possible Gephi library can be accessed using Jupyter Notebook as I can perform other non-visualization tasks on Jupyter Notebook and quickly carry it over to Gephi without having to write a file.

What problems are you solving with the product? What benefits have you realized?

I have used Gephi is identify patterns in my data. I had a data set with similar movie pairs that I was able to extract from an API then I exported the file to a csv and imported into Gephi. I was then able to calculate the modularity and find out which movie/node was the most important of all the movie options that I had scraped.