Book Image

Hands-On Graph Analytics with Neo4j

By : Estelle Scifo
Book Image

Hands-On Graph Analytics with Neo4j

By: Estelle Scifo

Overview of this book

Neo4j is a graph database that includes plugins to run complex graph algorithms. The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You’ll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You’ll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You’ll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you’ll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you’ll get to grips with structuring a web application for production using Neo4j. By the end of this book, you’ll not only be able to harness the power of graphs to handle a broad range of problem areas, but you’ll also have learned how to use Neo4j efficiently to identify complex relationships in your data.
Table of Contents (18 chapters)
1
Section 1: Graph Modeling with Neo4j
5
Section 2: Graph Algorithms
10
Section 3: Machine Learning on Graphs
14
Section 4: Neo4j for Production

Performing spatial queries

Now that we have data inside our graph, we are going to use it to extract geographical information. More precisely, we will learn how to select nodes that lie within a certain distance from a given point. We will also discover a new functionality: the ability to find nodes contained within a polygon.

Finding the distance between two spatial objects

With neo4j-spatial, we can get nodes within a certain distance from another node. The procedure to perform this operation is called spatial.withinDistance and its signature is the following:

spatial.withinDistance(layerName, coordinates, distanceInKm) => node, distance

This means it will search, within a given layer, all points that are less than distanceInKm away from coordinates. It returns those nodes and the computed distance between the returned node and coordinates.

The coordinates parameter can be an instance of a point or a map of latitude and longitude.

For instance, we can find the point of interest located...