networkjs
v0.1.1
Published
NetworkX Clone in JavaScript
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Readme
NetworkJS
NetworkX clone in JavaScript!
Implemented modules :
- Degree Centrality
- Betweenness Centrality
- Eigenvector Centrality
Menu
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