netsci | Analyzing Complex Networks with Python

by gialdetti Python Version: 0.0.3 License: GPL-3.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | netsci Summary

netsci is a Python library typically used in User Interface applications. netsci has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install netsci' or download it from GitHub, PyPI.

Analyzing Complex Networks with Python. netsci is a python package for efficient statistical analysis of spatially-embedded networks. In addition, it offers efficient implementations of motif counting algorithms. For other models and metrics, we highly recommend using existing and richer tools. Noteworthy packages are the magnificent NetworkX, graph-tool or Brain Connectivity Toolbox.

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Quality

Security

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Support

netsci has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 12 months.

netsci has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of netsci is 0.0.3

Quality

netsci has 0 bugs and 0 code smells.

Security

netsci has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

netsci code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

netsci is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

netsci releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 608 lines of code, 37 functions and 20 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed netsci and discovered the below as its top functions. This is intended to give you an instant insight into netsci implemented functionality, and help decide if they suit your requirements.

Compute motifs from a diagonal matrix
List of triad patterns
Constructs a triad classification tree
Bar plot of motifs
Plot a triad
Plot all triads
Computes motifs
Convert A to GPU
Compute motifs
Construct a triad classification tree
Generate the Erlang - random matrix
Identify nodes of the triad
Find motif implementation
Compute motifs of a given matrix
Returns the indices of all elements in the array

Get all kandi verified functions for this library.

netsci Key Features

No Key Features are available at this moment for netsci.

netsci Examples and Code Snippets

netsci,A simple example

Python

Lines of Code : 9

License : Strong Copyleft (GPL-3.0)

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>>> import numpy as np
>>> import netsci.visualization as nsv
>>> A = np.array([[0,1,1,1], [0,0,0,0], [0,0,0,0], [0,0,0,0]])
>>> nsv.plot_directed_network(A, pos=[[0,0],[-1,1],[1,1],[0,-np.sqrt(2)]])

>>>

Citation

Python

Lines of Code : 7

License : Strong Copyleft (GPL-3.0)

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@article {Gal2019
    author = {Gal, Eyal and Perin, Rodrigo and Markram, Henry and London, Michael and Segev, Idan},
    title = {Neuron Geometry Underlies a Universal Local Architecture in Neuronal Networks},
    year = {2019},
    doi = {10.1101/6

netsci,Installing

Python

Lines of Code : 1

License : Strong Copyleft (GPL-3.0)

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$ pip install netsci

Community Discussions

Trending Discussions on netsci

Vert.x undeploy verticle throws IllegalStateException Unknown deployment

QUESTION

Vert.x undeploy verticle throws IllegalStateException Unknown deployment

Asked 2017-Jul-12 at 18:06

Looking through the logs of a Vert.x application, I noticed the following exception when undeploying verticles (it's the same exception for all 3):

...

ANSWER

Answered 2017-Jul-12 at 18:06

From Vert.x specs:

You don’t need to manually undeploy child verticles started by a verticle, in the verticle’s stop method. Vert.x will automatically undeploy any child verticles when the parent is undeployed.

You can verify this by overriding the stop() method in the child verticles. I would say, that at the time when MasterMicroserviceVerticle is being undeployed, the other ones are already undeployed.

Source https://stackoverflow.com/questions/45053411

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install netsci

You can install using 'pip install netsci' or download it from GitHub, PyPI.
You can use netsci like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.