information_diffusion | fake news in Twitter during the 2016 US

by alexbovet Python Version: Current License: LGPL-3.0

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

kandi X-RAY | information_diffusion Summary

information_diffusion is a Python library. information_diffusion has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

Analysis codes to reproduce the results of the paper: Bovet, A. & Makse, H. A. Influence of fake news in Twitter during the 2016 US presidential election. Nat. Commun. 10, 7 (2019).

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information_diffusion has a low active ecosystem.

It has 7 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of information_diffusion is current.

Quality

information_diffusion has no bugs reported.

Security

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

License

information_diffusion is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

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

Top functions reviewed by kandi - BETA

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

Count the number of tweets in a DataFrame
Get start and end times of day
Compute the covariance matrix
Compute sample sigma over a degree sequence
Compute the weighted average of degree
Round to a decimal point
Process queue
Add CI to the graph
Return counts of tweets in a DataFrame
Get activity counts for a list of user ids
Wrapper for fct
Reduces a color
R Return True if e < threshold e

Get all kandi verified functions for this library.

information_diffusion Key Features

No Key Features are available at this moment for information_diffusion.

information_diffusion Examples and Code Snippets

No Code Snippets are available at this moment for information_diffusion.

Community Discussions

No Community Discussions are available at this moment for information_diffusion.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install information_diffusion

You can download it from GitHub.
You can use information_diffusion 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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