11.6. Generating Graphs

Generate undirected (random direction) graphs with semi-real random distributions based on theoretical models.

`apoc.generate.er(noNodes, noEdges, 'label', 'type')`	generates a graph according to Erdos-Renyi model (uniform)
`apoc.generate.ws(noNodes, degree, beta, 'label', 'type')`	generates a graph according to Watts-Strogatz model (clusters)
`apoc.generate.ba(noNodes, edgesPerNode, 'label', 'type')`	generates a graph according to Barabasi-Albert model (preferential attachment)
`apoc.generate.complete(noNodes, 'label', 'type')`	generates a complete graph (all nodes connected to all other nodes)
`apoc.generate.simple([degrees], 'label', 'type')`	generates a graph with the given degree distribution

Example

CALL apoc.generate.ba(1000, 2, 'TestLabel', 'TEST_REL_TYPE')
CALL apoc.generate.ws(1000, null, null, null)
CALL apoc.generate.simple([2,2,2,2], null, null)