ndlib | Network Diffusion Library

by GiulioRossetti Python Version: 5.1.1 License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | ndlib Summary

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

NDlib provides implementations of several spreading and opinion dynamics models. The project documentation can be found on ReadTheDocs.

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ndlib has a low active ecosystem.

It has 240 star(s) with 69 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 37 have been closed. On average issues are closed in 21 days. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ndlib is 5.1.1

Quality

ndlib has 0 bugs and 0 code smells.

Security

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

ndlib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ndlib is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ndlib releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

ndlib saves you 3275 person hours of effort in developing the same functionality from scratch.

It has 7033 lines of code, 309 functions and 89 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the iteration number
This method is used to set the Susceptible interaction
Limit social contacts
Returns the threshold for a given parameter
The iteration of the iteration
Repulsion
Calculates the attraction between two nodes
Return the iteration of the network
Perform a iteration of the network
Perform the iteration of the network
Generate a iteration of the network
Generate a single iteration
Perform a single iteration of the agent
The iteration of the iteration
Iterate over the current iteration
Run a single iteration
Perform the iteration
The iteration of the network
Calculate the iteration
Iterate over the network
The iteration of the iteration loop
The iteration of the simulation
Perform a iteration
Perform a single iteration
The iteration of each vote

Get all kandi verified functions for this library.

ndlib Key Features

No Key Features are available at this moment for ndlib.

ndlib Examples and Code Snippets

No Code Snippets are available at this moment for ndlib.

Community Discussions

Trending Discussions on ndlib

NDlib Independent Cascade initialisation is giving me an error

make big process on graph with python parallelised

QUESTION

NDlib Independent Cascade initialisation is giving me an error

Asked 2021-Mar-23 at 20:19

I am using NDlib to try and model an Independent Cascade diffusion process over a graph. I am trying to set some initial seed nodes using config.add_model_parameter('Infected', {0, 10, 100}) (the rest of my code to this point is the same as the tutorial example found here) but I get the error UserWarning: Initial infection missing: a random sample of 5% of graph nodes will be set as infected warnings.warn('Initial infection missing: a random sample of 5% of graph nodes will be set as infected') when I then run the line model.set_initial_status(config). I am not sure how this is happening as in the documentation linked it says the initial infection status can be defined via two options, the first option is what is used in the tutorial and the second is what I am trying to specify instead. Does anyone know why it is not seeming to recognise my initial seed nodes?

The full code I am using is this:

...

ANSWER

Answered 2021-Mar-23 at 20:19

For ndlib, you should be using add_model_initial_configuration instead of add_model_parameter, please look at this example: https://ndlib.readthedocs.io/en/latest/reference/mconf/Mconf.html#status-configuration

Source https://stackoverflow.com/questions/66770640

QUESTION

make big process on graph with python parallelised

Asked 2019-Oct-30 at 08:44

i'm working on graphs and big dataset of complex network's. i run SIR algorithm on them with ndlib library. but each iteration takes something like 1Sec and it make code takes 10-12 h to complete . i was wondering is there any way to make it parallelised ? the code is like down bellow

this line of the code is core :

...

ANSWER

Answered 2019-Oct-30 at 08:44

So, if the iterations are independent, then I don't see the point of iteration over count=500. Either way the multiprocessing library might be of interest to you.

I've prepared 2 stub solutions (i.e. alter to your exact needs). The first expects that every input is static (the changes in solutions as far as I understand the OP's question raise from the random state generation inside each iteration). With the second, you can update the input data between iterations of i. I've not tried the code as I don't have the model so it might not work directly.

Source https://stackoverflow.com/questions/58543508

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

Vulnerabilities

No vulnerabilities reported

Install ndlib

To install the library just download (or clone) the current project and copy the ndlib folder in the root of your application.

Support

For examples, tutorials and a complete reference visit the project documentation website on ReadTheDocs. If you would like to test NDlib functionalities withouth installing anything on your machine consider using the preconfigured Jupyter Hub instances offered by SoBigData++.

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