Description
MODULAR
MODULAR is a command-line app designed to help you calculate network modularity sets. It's a super handy tool built in C, and it uses the igraph library to get the job done.
Why Use MODULAR?
This easy-to-use application can quickly spot modules thanks to its two modularity metrics. If you're dealing with complex networks, this makes your life a whole lot easier!
How Does MODULAR Work?
One of the great features of MODULAR is that it uses modularity metrics that have been tested in various studies with different types of grids. This means you can trust its results.
Optimization Methods Available
The program offers several optimization methods for you to choose from. Some popular options include:
- 'fast greedy'
- 'simulated annealing'
- 'hybrid of fast greedy and simulated annealing'
- 'spectral partitioning'
- 'hybrid of spectral partitioning and simulated annealing'
You can pick the method that best fits your needs, which makes this software really flexible.
Get Started Today!
If you're ready to dive in and explore all that MODULAR has to offer, check it out! You can download it from this link: Download MODULAR. It's worth trying out if you're into network analysis!
User Reviews for MODULAR 8
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for MODULAR
MODULAR is a powerful Command Line tool developed in C, using igraph library to calculate network modularity with ease.
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for MODULAR
MODULAR provides a seamless and intuitive user experience. However, the app requires a few performance improvements.
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for MODULAR
MODULAR is an outstanding tool for calculating network modularity! It's user-friendly and efficient.
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for MODULAR
I love how MODULAR simplifies complex calculations. The various optimization methods are a game changer!
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for MODULAR
This app is phenomenal! It quickly identifies modules and the metrics are reliable. Highly recommend!
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for MODULAR
MODULAR exceeded my expectations. The command line interface is intuitive, and the results are impressive!
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for MODULAR
As a researcher, MODULAR has been invaluable. It offers great flexibility with different methods to choose from.