Resource Allocation

This feature is not available as a Cypher procedure or function in Aura Graph Analytics.

Resource Allocation is a measure used to compute the closeness of nodes based on their shared neighbors.

This feature is in the alpha tier. For more information on feature tiers, see API Tiers.

History and explanation

The Resource Allocation algorithm was introduced in 2009 by Tao Zhou, Linyuan Lü, and Yi-Cheng Zhang as part of a study to predict links in various networks. It is computed using the following formula:

resource allocation

where N(u) is the set of nodes adjacent to u.

A value of 0 indicates that two nodes are not close, while higher values indicate nodes are closer.

The library contains a function to calculate closeness between two nodes.

Syntax

The following will run the algorithm and return the result:

RETURN gds.alpha.linkprediction.resourceAllocation(node1:Node, node2:Node, {
 relationshipQuery:String,
 direction:String
})

Table 1. Parameters
Name	Type	Default	Optional	Description
`node1`	Node	null	no	A node
`node2`	Node	null	no	Another node
`relationshipQuery`	String	null	yes	The relationship type to use to compute similarity between `node1` and `node2`
`direction`	String	BOTH	yes	The relationship direction used to compute similarity between `node1` and `node2`. Possible values are `OUTGOING`, `INCOMING` and `BOTH`.

Resource Allocation algorithm sample

The following will create a sample graph:

CREATE
 (zhen:Person {name: 'Zhen'}),
 (praveena:Person {name: 'Praveena'}),
 (michael:Person {name: 'Michael'}),
 (arya:Person {name: 'Arya'}),
 (karin:Person {name: 'Karin'}),
 (zhen)-[:FRIENDS]->(arya),
 (zhen)-[:FRIENDS]->(praveena),
 (praveena)-[:WORKS_WITH]->(karin),
 (praveena)-[:FRIENDS]->(michael),
 (michael)-[:WORKS_WITH]->(karin),
 (arya)-[:FRIENDS]->(karin)

The following will return the Resource Allocation score for Michael and Karin:

 MATCH (p1:Person {name: 'Michael'})
 MATCH (p2:Person {name: 'Karin'})
 RETURN gds.alpha.linkprediction.resourceAllocation(p1, p2) AS score

Table 2. Results
`score`
0.3333333333333333

We can also compute the score of a pair of nodes based on a specific relationship type.

The following will return the Resource Allocation score for Michael and Karin based only on the FRIENDS relationships:

 MATCH (p1:Person {name: 'Michael'})
 MATCH (p2:Person {name: 'Karin'})
 RETURN gds.alpha.linkprediction.resourceAllocation(p1, p2, {relationshipQuery: "FRIENDS"}) AS score

Table 3. Results
`score`
0.0