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Graph Data Modeling in Python

You're reading from   Graph Data Modeling in Python A practical guide to curating, analyzing, and modeling data with graphs

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781804618035
Length 236 pages
Edition 1st Edition
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Authors (2):
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Gary Hutson Gary Hutson
Author Profile Icon Gary Hutson
Gary Hutson
Matt Jackson Matt Jackson
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Matt Jackson
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Getting Started with Graph Data Modeling
2. Chapter 1: Introducing Graphs in the Real World FREE CHAPTER 3. Chapter 2: Working with Graph Data Models 4. Part 2: Making the Graph Transition
5. Chapter 3: Data Model Transformation – Relational to Graph Databases 6. Chapter 4: Building a Knowledge Graph 7. Part 3: Storing and Productionizing Graphs
8. Chapter 5: Working with Graph Databases 9. Chapter 6: Pipeline Development 10. Chapter 7: Refactoring and Evolving Schemas 11. Part 4: Graphing Like a Pro
12. Chapter 8: Perfect Projections 13. Chapter 9: Common Errors and Debugging 14. Index 15. Other Books You May Enjoy

Knowledge graph analysis and community detection

Before we begin to delve deeper into our knowledge graph, it makes sense to get an understanding of its structure. Information on our graph’s structure will frame further analysis that we carry out. This analysis will be pivotal and we will examine how to examine the knowledge graph structure by looking at which components are connected; conversely, disconnected components would mean that there are abstracts in our knowledge graph that are standalone terms and abstracts that are separate from our main knowledge of medical abstracts. From there, we will look at common terms and methods to identify abstracts of interest. Let’s get started by examining our knowledge graph structure.

Examining the knowledge graph structure

The next series of steps in our process will be to examine the knowledge graph structure:

  1. Let’s first find the number of nodes and edges in our graph, since in this chapter, we have constructed...
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