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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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 Scifo Scifo
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Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

A bit of history: the Seven Bridges of Königsberg problem

Graph studies originate back to Leonhard Euler, a prolific Swiss mathematician who lived in the eighteenth century. In 1735, he published a paper proposing a solution to the Seven Bridges of Königsberg problem. The problem is the following:

Given the city whose geography is depicted in the following image, is there a way to walk across each of the seven bridges of the city once and only once, and return to our starting point?

As you can see, this city is crossed by a river that splits the city into two banks, A and B. The river meander additionally creates two islands, C and D, also part of the city. Those two banks and two islands are connected by a total of seven bridges: two bridges between A and C, two other bridges between C and B, one between C and D, one between B and D, and a last one between D and A:

Euler's reasoning (on the right side) was to reduce this complex geography to the most simple drawing, like the one you can see on the right of the previous image, since the route used within each island is not relevant. Each island then becomes a single point, or node, connected to another by one or several links, or edges, representing the bridges.

With this simple visualization, the mathematician was able to solve the initial problem by noting that, if you arrive at an island (vertex) via one bridge, you will need to leave it using another bridge (except for the start and end vertices). In other words, all vertices but two need to be connected to an even number of relationships. This is not the case in the Königsberg graph, since we have the following:

A: 3 connections (to C twice, and to D once)
B: 3 connections (to C twice, and to D once)
C: 5 connections (to A twice, to B twice and to D once)
D: 3 connections (to A once, to C once and to D once)

This kind of path, where each edge is used once and only once, is called a Eulerian cycle and it can be said that a graph has a Eulerian cycle if and only if all of its vertices have even degrees.

The number of connections for a node is called the degree of the node.
You have been reading a chapter from
Hands-On Graph Analytics with Neo4j
Published in: Aug 2020
Publisher: Packt
ISBN-13: 9781839212611
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