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Neo4j Browser

As explained in Graph Algorithms for Data Science

Neo4j Browser is a browser-based interface for executing Cypher queries and inspecting Neo4j databases.

Neo4j Browser is a browser-based workspace for developing Cypher queries and inspecting Neo4j databases through tables and graph visualizations. It supports exploratory analysis by exposing database contents and query results directly. section 4.1

Use Neo4j Browser to:

  • Inspect database reports showing node counts, node labels, and relationship types. section 4.1
  • Generate or execute Cypher statements that return sample paths, tables, or subgraph visualizations. section 4.1
  • View returned graph elements with visualization options such as node color, size, and captions. section 3.1.1

Visualize sampled follower relationships

Select the FOLLOWS relationship type to generate a query, or run MATCH p=()-[r:FOLLOWS]->() RETURN p LIMIT 25;. The result displays a sample subgraph as path data. Replace FOLLOWS with RETWEETS to practice visualizing another relationship type. section 4.1

Listing 4.1 Generated Cypher query that visualizes a sample of 25 FOLLOWS relationships
MATCH p=()-[r :FOLLOWS]->()
RETURN p LIMIT 25;

The executable Cypher listing demonstrates how Neo4j Browser returns a limited sample of relationship paths for graph inspection. section 4.1

How Graph Algorithms for Data Science covers it

How deep it goes
Demonstrates query execution, database inspection, path visualization, and basic styling, but defers broader Browser features.
Examples
Uses Twitter network exploration, sampled FOLLOWS and RETWEETS paths, and created Person nodes and relationships.
What it assumes
Assumes access to a Neo4j database and introduces Cypher through simple node, relationship, aggregation, and filtering tasks.
What you can do after
Operate Neo4j Browser to run Cypher, inspect graph inventories, and interpret tabular or visual query results.
How it connects
Connects Cypher with graph databases, nodes, relationships, paths, and graph visualization.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Graph Algorithms for Data Science. The section links point to the parts of the book it draws on.