---
title: Graph Gurus Episode 6 - Birds Of A Feather - Community Detection With Native Parallel Graph Database
description: The old adage “Birds of a feather, flock together” introduces the next major graph analytics algorithm - community detection.
image: https://info.tigergraph.com/hubfs/Screen%20Shot%202018-10-24%20at%209.32.02%20AM.png
---

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# Birds of a Feather

Community Detection with a Native Parallel Graph Database

### ![graph_gurus_6_email-1](https://info.tigergraph.com/hs-fs/hubfs/graph_gurus_6_email-1.png?width=3186&name=graph_gurus_6_email-1.png)

*Recorded Wednesday, November 14:* **This is the 6th episode that continues TigerGraph's Graph Guru series, a free educational webinar series for developers and data scientists.**

**The old adage “birds of a feather, flock together” introduces the next major graph analytics algorithm: community detection. We are looking to establish groups of densely interconnected entities - such as a cluster of households in a geographic area that are part of a county, state or federal social benefit program, a group of doctors serving a cluster of patients for a particular condition such as diabetes or opioid addiction, and a set of customers connected by referrals or payments for an eCommerce, digital wallet app or ride sharing service application.**

In this Graph Gurus episode, we use the [TigerGraph Developer Edition](https://www.tigergraph.com/developer/) to build a solution using the algorithm, “Community Detection” from the newly released TigerGraph Algorithm library. In this episode, we will:

**Speaking: **

Dr. Victor Lee, Director Product Management

Emma Liu, Product Manager

Huiting Su, Software Engineer 

### ON DEMAND WEBINAR:

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