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Updated on 2024-01-03 GMT+08:00
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Common Neighbors of Vertex Sets

Overview

The Common Neighbors of Vertex Sets algorithm can find common neighbors of two vertex sets, and intuitively discover an object jointly associated with both sets, for example, a common friend in a social occasion, a product that is of common interest, a person who has been contacted by community groups. In this way, the algorithm infers the potential relationship and degree of association between the vertex sets.

Application Scenarios

This algorithm applies to graph analysis such as relationship mining and product/friend recommendations.

Parameter Description

Table 1 Common Neighbors of Vertex Sets algorithm parameters

Parameter

Mandatory

Description

Type

Value Range

Default Value

sources

Yes

Source vertex ID set

String

The value is in the standard CSV format. IDs are separated by commas (,), for example, Alice, Nana.

The maximum ID number is 100,000.

-

targets

Yes

Target vertex ID set

String

The value is in the standard CSV format. IDs are separated by commas (,), for example, Alice, Nana.

The maximum ID number is 100,000.

-

Precautions

None

Example

Enter sources=Alice,Nana and targets=Mike,Amy. The calculation result is displayed on the canvas and the JSON result is displayed in the query result area.

Parent topic: Algorithms