Clustering Coefficient

Updated on 2022-09-15 GMT+08:00

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Overview

The clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterized by a relatively high density of ties. This algorithm is used to calculate the aggregation degree of nodes in a graph.

Application Scenarios

This algorithm is often used to measure the structure features of a graph.

Parameter Description

None

Instructions

The multi-edge situation is not considered.

Example

Run the algorithm to calculate the clustering coefficient of a graph. The JSON result is displayed in the query result area.

Parent topic: Algorithms

Previous topic: Triangle Count

Next topic: Betweenness Centrality

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