---
title: Graph Gurus Episode 7 - Connecting The Dots In Real-Time - Deep Link Analysis With A Native Parallel Graph Database To Uncover Hidden Relationships
description: This episode explores one of the most popular graph patterns - link analytics, where we are looking for a link between two entities such as connection between accounts in banking or possible relationship between a doctor and an administrator for drug rehabilitation clinic in healthcare or level of interconnections among a group of subscribers in telecom.
image: https://info.tigergraph.com/hubfs/Screen%20Shot%202018-10-24%20at%209.21.35%20AM.png
---

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# Connecting The Dots In Real-Time

Deep Link Analysis With A Native Parallel Graph Database To Uncover Hidden Relationships

### ![Screen Shot 2018-11-14 at 3.41.38 PM](https://info.tigergraph.com/hs-fs/hubfs/Screen%20Shot%202018-11-14%20at%203.41.38%20PM.png?width=1658&name=Screen%20Shot%202018-11-14%20at%203.41.38%20PM.png) **Wednesday, December 5 at 11:00 a.m. Pacific / 2:00 p.m. Eastern**

******This is the 7th episode that continues TigerGraph's Graph Guru series, a free educational webinar series for developers and data scientists.******

**This episode explores one of the most popular graph patterns - link analytics, where we seek a link between two entities. This may be a connection between banking accounts, a possible relationship between a doctor and administrator of a drug rehabilitation clinic for healthcare, or the level of interconnections among a group of subscribers in a telecom use case.**

In this Graph Gurus episode, we use the TigerGraph Developer Edition to build a link analysis solution using the first algorithm, “Shortest Path” from the newly released TigerGraph Algorithm library. In this episode, we:

**Speakers: **

Emma Liu, Product Manager

Huiting Su, Software Engineer

 

### WEBINAR:

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