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User-friendly Interface
Gephi offers an intuitive and visually appealing interface that is relatively easy to navigate, even for beginners.
Interactive Visualization
Users can manipulate the visualization of networks in real-time, offering a hands-on approach to data analysis.
Extensive Plugins
Gephi supports a wide range of plugins that can extend its functionality, enabling users to customize their analysis and visualization needs.
High Performance
Designed to handle large graphs efficiently, Gephi can process, visualize, and manage extensive datasets without significant performance issues.
Open Source
Being open-source software, Gephi is freely available for anyone to use and modify, providing transparency and community-driven support.
There are some tools for larger renderings. I’ve had success with Graphics but have you tried Gephi https://gephi.org/.
– Source: Hacker News
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18 days ago
Load gexf file into Gephi and produce some dataviz by ourselves.
– Source: dev.to
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4 months ago
The following are not exactly what you have asked for. https://gephi.org/ This implements lots of graph visualization algorithms. https://strlen.com/treesheets/ Excel for tree data.
– Source: Hacker News
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7 months ago
Enjoy some movie data art experience with Gephi and Runway.
– Source: dev.to
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11 months ago
Maybe try exporting your data from spiderfoot and use a graph tool like Gephi to import your data to and have it generate a graph for you.
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over 1 year ago
Tool: custom python scripts and Gephi.
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over 1 year ago
Datasource : https://developer.riotgames.com/apis
Tool used : https://gephi.org
Network Algorythm : Force Atlas 2.
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over 1 year ago
Yeah the only way I’ve encountered uses Gephi to generate X and Y co-ordinates from your Excel source data. Since Tableau can’t handle network graphs innately, it has to pretend it’s plotting a dual-axis line and circle sheet.
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almost 2 years ago
Both Cytoscape and Gephi are options that you can try on Windows; both can run some classic community detection algorithms and can be extended with plugins. Personally, I’d recommend you to use igraph, which can be run as an R or python libraries. Then, about the specific algorithm, I have no experience on amino acid communities, but I would approach the issue thinking the properties that you would like to…
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almost 2 years ago
I am searching for a GUI library that is capable of Visualizing and manipulating nodes in a Graph, Something like gephi (a social network analysis tool).
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almost 2 years ago
Data sourced from the Minecraft Wikia. Data organized using Excel and visualized with Gephi.
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almost 2 years ago
Two common GUI tools for analysis and editing of graph data are Gephi and Cytoscape. An older alternative starting with a P is Pajek, but I’ve never used it.
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about 2 years ago
This really looks like it was made with gephi https://gephi.org/.
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over 2 years ago
For data collection a Python program I wrote and to visualize it Gephi.
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over 2 years ago
I analysed over 200k tweets and extracted the @ -Mentions within them to be able to generate a graph using networkx and displaying every node properly with the communities main name as a label using gephi.
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over 2 years ago
I basically found the Spotify pages for each artist in my playlist, and then used the “related artists” feature to find out which pairs of artists were similar. I then exported this data into the software Gephi, which (with some tweaking) produced the graph in the post.
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over 2 years ago
Rh/ github(reverted to the old version) I hate myself so much, I have to re-write 1week worth of stuff that I coded fuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuck (there won’t be anything related to Gephi implementation and documentations related since it blew up. plus, very dirty code before cleanup).
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over 2 years ago
To get an initial list of artists to use, I used my own YouTube playlist, getting a Spotify Id for each artist that has one. Next, I used Python and Spotify’s API to retrieve 20 related artists (in order of similarity) for each original artist in the list. If any of the related artists were not in the original list, they were removed to maintain the initial amount of nodes. This data was then converted into a…
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over 2 years ago
Tools used: Python3 (string, numpy, networkx, pandas) to process the data and build the network, and Gephi (https://gephi.org) to visualize it.
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over 2 years ago
Corrected! Following rule#3 of this OC post:
Data source: the texts of the novels downloaded from here https://github.com/dworschak/Witcher/tree/master/RESSOURCES/_books
Tools used: I used Python3 (string, numpy, networkx, pandas) to process the network ( and Gephi to visualize it (https://gephi.org)
Short story: every node of the network corresponds to a Witcher character, and they are linked in they occurred…
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over 2 years ago
You made this diagram by hand? What a madman. I really recommend to you a tool like graphviz or gephi where you don’t need to do manual dragging for these types of graphs.
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almost 3 years ago
