NetworkJS

NetworkX clone in JavaScript!

Implemented modules :

• Degree Centrality
• Betweenness Centrality
• Eigenvector Centrality

Menu

• Installation
• Usage
  • Command Line
  • Library
• API Reference
• Run Tests
• Change Log

Installation

• Install Nodejs
• For command line install the tool via npm : npm install -g networkjs
• For library usage : npm install --save networkjs
• Makefile is also provided which will automatically install latest node if not present and then install the command line tool. To run, type the following :

make
make install

Usage

Command Line

See full options available : networkjs --help

• -s,--source : Provide the column name for Source Node. Default value = "Source"

• -t,--target : Provide the column name for Target Node. Default value = "Target"

• -w,--weight : Provide the column name for Weight Node. Default value = "Weight"

• -d,--degree: Run Degree centrality measure over the given dataset, which is defined as the number of links incident upon a node. https://en.wikipedia.org/wiki/Centrality#Degree_centrality

• -b,--betweenness: Run Betweenness centrality measure over the given dataset, which for a node is defined as the number of times a node acts as a bridge along the shortest path between two other nodes. https://en.wikipedia.org/wiki/Centrality#Betweenness_centrality

• -e,--eigenvector: Run Eigenvector centrality measure over the given dataset, which calculates the influence of a node in the network. It assigns relative scores to all nodes in the network based on the concept that connections to high-scoring nodes contribute more to the score of the node in question than equal connections to low-scoring nodes. https://en.wikipedia.org/wiki/Centrality#Eigenvector_centrality

• -v,--verbose: Print detailed logs and events

• -h,--help: Display command line help usage for the methods available

For more details consult the man page : man networkjs

Library Usage

Import the required modules either using AMD require or ES6 import :

import nj from 'networkjs'
const Graph = nj.datastructures.Graph
const {betweenness_centrality,
  degree_centrality,
  eigenvector_centrality} = nj.algorithms.centrality

// Add edges
let G = new Graph()
G.add_edges_from([[1,2],[2,3]])

API Reference

datastructures.Graph

• read_csv
• add_node
• add_nodes_from
• remove_node
• get_node
• order
• has_node
• num_nodes
• get_nodes
• is_directed
• add_edge
• add_edges_from
• add_weighted_edges_from
• remove_edge
• remove_edges_from
• has_edge
• neighbors
• degree_iter
• nbunch_iter

algorithms.centrality

• degree_centrality
• betweenness_centrality
• eigenvector_centrality

Run Tests

npm test

Change Log

0.1.1

• Changed the command line usage for providing Source, Target and Weight column headers

0.1.0

• Updated command line interface, now provide Source, Target and Weight headers directly
• Command line output in csv by default. To get json output provide flag --json

0.0.7

• Fix babel module.exports issue
• Add man pages

0.0.6

• Patch fix again broken library import

0.0.5

• Patch fix broken library import

0.0.4

• Experimental Library Support

0.0.3

• Minor fixes
• Better readme
• Project is now public

0.0.2

• Published as npm package
• Supports command line features

0.0.1

• Initial release, supports Degree centrality, Betweenness centrality and Eigenvector centrality
• Added Tests

License

MIT