Graph generators
This module generates various graphs. It is part of larger ngraph family. If you need something not as simple as generated graphs, please check out ngraph.sparcecollection repository which contains graphs from University of Florida collection.
Install
With npm do:
npm install ngraph.generators
If you prefer CDN you can also do:
<script src='https://cdn.jsdelivr.net/npm/ngraph.generators@19.2.0/dist/ngraph.generators.min.js'></script>
In case of CDN the library will be accessible under global name generators
Supported graphs
All images below are clickable and point to interactive 3d visualization, done by ngraph.three
library.
ladder
// Creates a ladder with 10 steps
var graph = require('ngraph.generators').ladder(10);
complete
// Creates complete graph K6
var graph = require('ngraph.generators').complete(6);
completeBipartite
// Creates complete bipartite graph K 3,3.
var graph = require('ngraph.generators').completeBipartite(3, 3);
balancedBinTree
// Creates balanced binary tree with n levels.
var graph = require('ngraph.generators').balancedBinTree(5);
path
// Generates a pathgraph with 10 steps.
var graph = require('ngraph.generators').path(10);
circularLadder
// Generates a graph in a form of a circular ladder with 5 steps.
var graph = require('ngraph.generators').circularLadder(5);
grid
// Generates a graph in a form of a grid with 10 rows and 10 columns.
var graph = require('ngraph.generators').grid(10, 10);
grid3
// Generates a graph in a form of a 3d grid with 5 rows and 5 columns and 5 levels.
var graph = require('ngraph.generators').grid3(5, 5, 5);
noLinks
// Creates graph with 100 nodes and 0 links
var graph = require('ngraph.generators').noLinks(100);
cliqueCircle
var cliqueCount = 10;
var cliqueSize = 5;
// create a circle, with `cliqueCount` nodes. Each node is a fully connected
// graph with `cliqueSize` nodes
var graph = require('ngraph.generators').cliqueCircle(cliqueCount, cliqueSize);
WattsStrogatz
This is a "small world" random graph, generated by Watts and Strogatz model. In this model generator takes three arguments:

n
 number of nodes 
k
 number of edges for each node. Originally node is connected withk
nearest neighbours on a circle graph 
b
 probability of an edge rewrite. In other words node changes it's nearest neighbor to a random node inside graph with probabilityb
.
// Creates graph with 100 nodes, each node is connected with 20 neighbours,
// and probability of neighbour to be outside of local node community is 1%.
var g1 = require('ngraph.generators').wattsStrogatz(100, 20, 0.00);
var g2 = require('ngraph.generators').wattsStrogatz(100, 20, 0.01);
var g3 = require('ngraph.generators').wattsStrogatz(100, 20, 0.10);
var g4 = require('ngraph.generators').wattsStrogatz(100, 20, 0.50);
var g5 = require('ngraph.generators').wattsStrogatz(20, 4, 0.02);
Watts Strogatz n = 100 k = 20 b = 0.00 (g1):
Watts Strogatz n = 100 k = 20 b = 0.01 (g2):
Watts Strogatz n = 100 k = 20 b = 0.10 (g3):
Watts Strogatz n = 100 k = 20 b = 0.50 (g4):
Watts Strogatz n = 20 k = 04 b = 0.02 (g5):
createGraph()
Custom By default this library uses ngraph.graph
module to create new instances
of a graph. If you want to use your own module, you can use factory
method:
var generate = require('ngraph.generators').factory(function createGraph() {
// the following methods are required from the createGraph api:
return {
addLink(from, to) {
// ...
},
addNode(nodeId) {
},
getNodesCount() {
}
}
});
// now generators have the same methods as regular ngraph.generators:
var graph = generate.ladder(3);
generate.grid(10, 10);
generate.balancedBinTree(4);
// etc.