npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

betweenness

v0.1.1

Published

Calculates the 'betweenness centrality' of a graph using Brandes' algorithm (On variants of shortest-path betweenness centrality and their generic computation [2008]).

Downloads

25

Readme

Betweenness.js

Determines the betweenness centrality values of a graph using Brandes' algorithm On variants of shortest-path betweenness centrality and their generic computation [2008].

Usage

var nodes = [ 
    { id: 0, outEdges: [ 1 ] }, 
    { id: 1 } ];

var betweenness = require("betweenness");
betweenness.vertex().nodes(nodes).calc();

Install

npm install betweenness

Supported Betweenness Types

Type | Implementation | Description ----- | --------------- | ----------- Vertex Betweenness | vertex() | Classic shortest-path betweenness, the score of v equals the number of shortest paths v lies on. Vertex Betweenness with Endpoints | vertexWithEndpoints() | Same as before, adds to the score of a v the number of vertices that can be reached by v and that reach v. Edge Betweenness | edge() | The score of an edge e is the number of shortest paths e is part of.

In Brandes' paper more variants are listed and it is easy to add them to the implementation. If you miss a variation feel free to add it.