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Graphology Generators\n\nVarious graph generators to be used with [`graphology`](https://graphology.github.io).\n\n## Installation\n\n```\nnpm install graphology-generators\n```\n\n## Usage\n\n- [Classic graphs](#classic-graphs)\n  - [Complete](#complete)\n  - [Empty](#empty)\n  - [Ladder](#ladder)\n  - [Path](#path)\n- [Community graphs](#community-graphs)\n  - [Caveman](#caveman)\n  - [Connected Caveman](#connected-caveman)\n- [Random graphs](#random-graphs)\n  - [Clusters](#clusters)\n  - [Erdos-Renyi](#erdos-renyi)\n  - [Girvan-Newman](#girvan-newman)\n- [Small graphs](#small-graphs)\n  - [Krackhardt Kite](#krackhardt-kite)\n- [Social graphs](#social-graphs)\n  - [Florentine Families](#florentine-families)\n  - [Karate Club](#karate-club)\n\n### Classic graphs\n\n#### Complete\n\nCreates a [complete](https://en.wikipedia.org/wiki/Complete_graph) graph.\n\n```js\nimport Graph, {UndirectedGraph} from 'graphology';\nimport {complete} from 'graphology-generators/classic';\n// Alternatively, if you only want to load relevant code\nimport complete from 'graphology-generators/classic/complete';\n\n// Creating a complete graph\nconst graph = complete(Graph, 10);\n\n// Using another constuctor to create, say, a complete undirected graph\nconst graph = complete(UndirectedGraph, 10);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **order** _number_: number of nodes in the generated graph.\n\n#### Empty\n\nCreates an empty graph with the desired number of nodes and no edges.\n\n```js\nimport Graph, {UndirectedGraph} from 'graphology';\nimport {empty} from 'graphology-generators/classic';\n// Alternatively, if you only want to load relevant code\nimport empty from 'graphology-generators/classic/empty';\n\n// Creating an empty graph\nconst graph = empty(Graph, 10);\n\n// Using another constuctor to create, say, an empty undirected graph\nconst graph = empty(UndirectedGraph, 10);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **order** _number_: number of nodes in the generated graph.\n\n#### Ladder\n\nCreates a ladder graph with the desired length. Note that the generated graph will logically have twice the number of nodes.\n\n```js\nimport Graph, {UndirectedGraph} from 'graphology';\nimport {ladder} from 'graphology-generators/classic';\n// Alternatively, if you only want to load relevant code\nimport ladder from 'graphology-generators/classic/ladder';\n\n// Creating a ladder graph\nconst graph = ladder(Graph, 10);\n\n// Using another constuctor to create, say, a undirected ladder graph\nconst graph = ladder(UndirectedGraph, 10);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **length** _number_: length of the ladder.\n\n#### Path\n\nCreates a path graph.\n\n```js\nimport Graph, {UndirectedGraph} from 'graphology';\nimport {path} from 'graphology-generators/classic';\n// Alternatively, if you only want to load relevant code\nimport path from 'graphology-generators/classic/path';\n\n// Creating a path graph\nconst graph = path(Graph, 10);\n\n// Using another constuctor to create, say, a path undirected graph\nconst graph = path(UndirectedGraph, 10);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **order** _number_: number of nodes in the generated graph.\n\n### Community graphs\n\n#### Caveman\n\nCreates a Caveman graph containing `l` components of `k` nodes.\n\n```js\nimport Graph, {UndirectedGraph} from 'graphology';\nimport {caveman} from 'graphology-generators/community';\n// Alternatively, if you only want to load relevant code\nimport caveman from 'graphology-generators/community/caveman';\n\n// Creating a caveman graph\nconst graph = caveman(Graph, 6, 8);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **l** _number_: number of components in the graph.\n- **k** _number_: number of nodes of the components.\n\n#### Connected Caveman\n\nCreates a Connected Caveman graph containing `l` components of `k` nodes.\n\n```js\nimport Graph, {UndirectedGraph} from 'graphology';\nimport {connectedCaveman} from 'graphology-generators/community';\n// Alternatively, if you only want to load relevant code\nimport connectedCaveman from 'graphology-generators/community/connected-caveman';\n\n// Creating a connected caveman graph\nconst graph = connectedCaveman(Graph, 6, 8);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **l** _number_: number of components in the graph.\n- **k** _number_: number of nodes of the components.\n\n### Random graphs\n\n#### Clusters\n\nCreates a graph with the desired number of nodes & edges and having a given number of clusters.\n\n```js\nimport Graph from 'graphology';\nimport {clusters} from 'graphology-generators/random';\n// Alternatively, if you only want to load relevant code\nimport clusters from 'graphology-generators/random/clusters';\n\n// Creating a random clustered graph\nconst graph = clusters(Graph, {\n  order: 100,\n  size: 1000,\n  clusters: 5\n});\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **options** _object_: options:\n  - **order** _number_: number of nodes of the generated graph.\n  - **size** _number_: number of edges of the generated graph.\n  - **clusters** _number_: number of clusters of the generated graph.\n  - **clusterDensity** _?number_ [`0.5`]: Probability that an edge will link two nodes of the same cluster.\n  - **rng** _?function_: custom RNG function.\n\n#### Erdos-Renyi\n\nCreates an [Erdos-Renyi](https://en.wikipedia.org/wiki/Erd%C5%91s%E2%80%93R%C3%A9nyi_model), or binomial graph.\n\n```js\nimport Graph from 'graphology';\nimport {erdosRenyi} from 'graphology-generators/random';\n// Alternatively, if you only want to load relevant code\nimport erdosRenyi from 'graphology-generators/random/erdos-renyi';\n\n// Creating a binomial graph\nconst graph = erdosRenyi(Graph, {order: 10, probability: 0.5});\n\n// If your graph is sparse (low probability), you can use the `sparse` version\n// which runs in O(m + n) rather than O(n^2)\nconst graph = erdosRenyi.sparse(Graph, {order: 1000, probability: 0.1});\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **options** _object_: options:\n  - **order** _number_: number of nodes of the generated graph.\n  - **probability** _number_: probability for edge creation. (i.e. density you try to approximate in the generated graph).\n  - **approximateSize**: alternatively, you can pass an approximate number of edges you are trying to get in the generated graph.\n  - **rng** _?function_: custom RNG function.\n\n#### Girvan-Newman\n\nCreates a [Girvan-Newman](http://www.pnas.org/content/99/12/7821.full.pdf) random graph as described in:\n\n> Community Structure in social and biological networks. Girvan Newman, 2002. PNAS June, vol 99 n 12\n\n```js\nimport Graph from 'graphology';\nimport {girvanNewman} from 'graphology-generators/random';\n// Alternatively, if you only want to load relevant code\nimport girvanNewman from 'graphology-generators/random/girvan-newman';\n\n// Creating a binomial graph\nconst graph = girvanNewman(Graph, {zOut: 4});\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n- **options** _object_: options:\n  - **zOut** _number_: _zout_ parameter.\n  - **rng** _?function_: custom RNG function.\n\n### Small graphs\n\n#### Krackhardt kite\n\nReturns the [Krackhardt kite](https://en.wikipedia.org/wiki/Krackhardt_kite_graph) graph.\n\n```js\nimport Graph from 'graphology';\nimport {krackhardtKite} from 'graphology-generators/small';\n// Alternatively, if you only want to load relevant code\nimport krackhardtKite from 'graphology-generators/small/krackhardt-kite';\n\n// Creating a random clustered graph\nconst graph = krackhardtKite(Graph);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n\n### Social graphs\n\n#### Florentine Families\n\nReturns the Florentine families' graph.\n\n```js\nimport Graph from 'graphology';\nimport {florentineFamilies} from 'graphology-generators/florentine-families';\n// Alternatively, if you only want to load relevant code\nimport florentineFamilies from 'graphology-generators/social/florentine-families';\n\n// Generating the graph\nconst graph = florentineFamilies(Graph);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.\n\n#### Karate Club\n\nReturns [Zachary's karate club](https://en.wikipedia.org/wiki/Zachary%27s_karate_club) graph.\n\n```js\nimport Graph from 'graphology';\nimport {karateClub} from 'graphology-generators/karate-club';\n// Alternatively, if you only want to load relevant code\nimport karateClub from 'graphology-generators/social/karate-club';\n\n// Generating the graph\nconst graph = karateClub(Graph);\n```\n\n**Arguments**\n\n- **constructor** _Class_: a `graphology` constructor.","users":{}}