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neo4j - graph algorithm - part 0

#database#graphdb#neo4j

intro.

neo4j - Applied Graph Algorithm course

  • Graph Algorithm은 그래프, 노드, 관계(Relationship, edge) 등을 위한 다양한 지표(metric)들을 계산하기 위해서 사용됩니다. 이들은 Centrality, ranking등의 관점에서 그래프에 대한 insight를 제공하거나, community와 같이 그래프에 내재된 구조들을 community-detection, graph-partitioning, clustering 등을 통해서 도출할 수 있도록 해줍니다.
  • 이 코스에서는, neo4j에서 Graph Algorithm을 사용하여, 어떻게 그래프 기반의 어플리케이션을 만들 수 있는지에 대해서 배울 수 있습니다.
  • 이를 위해, 여기서는 이미 존재하는 웹 어플리케이션으로부터 시작합니다. 이 어플리케이션은 Reacj.js로 반들어진 business reveiw 웹사이트이며, Yelp에서 공개한 데이터로부터 확장되어 사용됩니다. 즉, 우리는 Neo4j를 사용해서 기존 웹 어플리케이션이 얼마나 더 강화될 수 있는지를 작업하게 됩니다.
  • 또한, 만약 웹어플리케이션과 React에 대해서 친숙하지 않더라도 상관없습니다.

Course Outline

Setup And Cypher Refresher

  • Review of the dataset used in this course.
  • Accessing the Yelp Neo4j Sandbox.
  • Overview of the CodeSandbox React application used in the course.
  • Connecting the React application to your Neo4j Sandbox instance. Verifying configuration and querying the dataset. Estimated time: 15 minutes

Category Hierarchy

Learn about the Overlap Similarity algorithm and how to use it in Neo4j to build a hierarchy of categories. Enhance our business reviews application using Overlap Similarity to improve business search. Estimated time: 30 minutes

Ordering Search Results

Learn about Similarity algorithms in Neo4j. Use Pearson Similarity to improve search result ordering in our business reviews application. Estimated time: 30 minutes

Most Relevant Reviews

Learn about PageRank and Personalized PageRank. Use Personalized PageRank to find more relevant business reviews for users. Estimated time: 30 minutes

Photo Recommendations

Learn more about Similarity algorithms in Neo4j. Learn about Community Detection and the Label Propagation algorithm. Use Jaccard Similarity and Label Propagation to build a photo based business recommendation feature. Estimated time: 30 minutes

Summary

Quiz results. Review of graph algorithms in Neo4j. Overview of resources for learning more and doing more with Graph Algorithms in Neo4j. Estimated time: 10 minutes

Prerequisites This course focuses on using graph algorithms with Neo4j in an applied environment to enhance functionality of an application. To be successful you should:

Have completed Introduction to Neo4j course or have equal Cypher proficiency. Be familiar with Neo4j Browser. Be familiar with the concepts of a web application.