Graph Algorithms in SQL

Community Detection Algorithm (Louvain)

The Community Detection algorithm is used to detect communities (clusters) in networks (interrelated items) by evaluating how much more densely connected the nodes within a community are, compared to how connected they would be in a random network (i.e., nodes more like each other than to the other nodes). Timbr’s GA library includes the popular Louvain community detection algorithm.

Network of Connected Entities

Entities clustered into communities

Sample use cases

Marketing

Detecting communities for targeted advertising

Finance

Identifying stock groups whose share price is affected by same events

Social Media

Suggesting relevant communities based on interests, behavior, etc.

Supply Chain

Recommending health practitioners based on their ranking

Customer 360

Recommending products based on product-groups relevant to specific types of customers

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