NetAn | network analyzer netan is built on broadly used python
kandi X-RAY | NetAn Summary
kandi X-RAY | NetAn Summary
NetAn is a HTML library. NetAn has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
network analyzer netan is built on broadly used python libraries that are freely available, such as networkx. the main script networkanalysis.py receives a list of interactions weighted or unweighted (-d and –u options, respectively) and computes several metrics. we focused on identifying key features that are showed to be significant in comparison with those in random networks. therefore, netan computes properties of the directed networks such as density, hubs with maximum in-degree and out-degree and clustering coefficient, among others. netan also assumes the networks as non-directed and calculated further topological features such as modularity and communities using the louvain method (blondel et al., 2008). given that the real networks are very dense in terms of connections, we implemented in netan a method to generate random networks that resemble the real ones using the option gnm_random_graph from networkx python module. a hundred random networks were generated for each real one, with the same number of nodes and edges. then, for each one same topological features
network analyzer netan is built on broadly used python libraries that are freely available, such as networkx. the main script networkanalysis.py receives a list of interactions weighted or unweighted (-d and –u options, respectively) and computes several metrics. we focused on identifying key features that are showed to be significant in comparison with those in random networks. therefore, netan computes properties of the directed networks such as density, hubs with maximum in-degree and out-degree and clustering coefficient, among others. netan also assumes the networks as non-directed and calculated further topological features such as modularity and communities using the louvain method (blondel et al., 2008). given that the real networks are very dense in terms of connections, we implemented in netan a method to generate random networks that resemble the real ones using the option gnm_random_graph from networkx python module. a hundred random networks were generated for each real one, with the same number of nodes and edges. then, for each one same topological features
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NetAn has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of NetAn is current.
Quality
NetAn has no bugs reported.
Security
NetAn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
NetAn does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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NetAn releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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NetAn Key Features
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NetAn Examples and Code Snippets
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