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Welcome to Linkurious user manual v2.9.14. Use the menu to access other documentations.
  1. Introduction
  2. First visualization
    1. At first glance
    2. Create a new visualization
    3. Inspect data
  3. Custom actions
  4. Search
    1. Searching for nodes
    2. Searching for edges
    3. Advanced search
    4. Advanced syntax
  5. Manipulating the graph
    1. Select nodes and edges
    2. Expand nodes
    3. Queries and templates
    4. Lasso
    5. Hide
    6. Layouts
    7. Pinning nodes
    8. Undo/redo
    9. Shortcuts
  6. Design
    1. Captions
    2. Nodes color
    3. Edges color
    4. Nodes size
    5. Edges size
    6. Icons
  7. Filters
    1. Filter panel
    2. Timeline
  8. Edit data
    1. Edit properties and categories
    2. Create nodes and edges
    3. Delete nodes and edges
  9. Geography
    1. Geographic data
    2. Display a geographic map
  10. Manage visualizations
    1. Auto-save
    2. Organize
    3. Duplicate
    4. Share
    5. Publish
    6. Export
    7. Delete
  11. Alerts
    1. Alerts dashboard
    2. List matches
    3. Investigate a match
  12. Guest Mode
 

First visualization

In this chapter, we will learn the basics of how to explore and visualize a graph database with Linkurious Enterprise.

About the dataset

This section of the manual and the following chapters are based on a dataset coming from Crunchbase. Crunchbase is a popular website that tracks the start-up ecosystem, especially companies and investors.

We have used Crunchbase to create a graph database of approximately 75 000 nodes and 250 000 edges. From this we have then created a subset of to focus on San Francisco Bay Area companies only. It contains 14 863 nodes and 47 090 edges. A graph contains 4 types of nodes:

  • cities
  • companies
  • investors
  • markets

Companies and investors are linked to cities by the HAS_CITY edge. Companies are linked to each other by the ACQUIRED edge. Investors and companies are linked to each other by the INVESTED_IN edge. Companies are linked to markets by the HAS_MARKET edge.

In order to follow this manual, we suggest you to download and install the dataset. Extract the archive and put its content in the folder [YOUR_NEO4J_FOLDER]/data/graph.db.