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Neo4j Graph Data Modelling

You're reading from   Neo4j Graph Data Modelling Design efficient and flexible databases by optimizing the power of Neo4j

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781784393441
Length 138 pages
Edition 1st Edition
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Concepts
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Author (1):
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Mahesh K Lal Mahesh K Lal
Author Profile Icon Mahesh K Lal
Mahesh K Lal
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Toc

Table of Contents (11) Chapters Close

Preface 1. Graphs Are Everywhere 2. Modeling Flights and Cities FREE CHAPTER 3. Formulating an Itinerary 4. Modeling Bookings and Users 5. Refactoring the Data Model 6. Modeling Communication Chains 7. Modeling Access Control 8. Recommendations and Analysis of Historical Data 9. Wrapping Up Index

Graphs in mathematics

A graph is a mathematical structure of objects in which some pairs of objects are connected by links. The objects are denoted by abstractions called nodes (also known as vertices) and their links are represented by relationships (also known as edges). The relationships might be directed where it makes semantic sense in one particular direction. In cases where the semantics work in both directions, we can safely use undirected relationships to denote the link.

Graphs in mathematics

Figure 1.1: Edges, vertices, directionality

In Figure 1.1, we have three actors or entities, Alice, Bob, and London, which are represented as nodes. The links between them are denoted by relationships. Alice is married to Bob and Bob is married to Alice. Both true, hence we represent Is Married To as an undirected relationship. However, Alice lives in London is represented by a directed relationship, Lives In, from Alice to London. This is because London lives in Alice cannot be true.

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