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Welcome to Linkurious user manual v3.1.15. 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. Edge Grouping
    4. Queries and templates
    5. Lasso
    6. Hide
    7. Layouts
    8. Pinning nodes
    9. Undo/redo
    10. 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 unified case list
    2. Alerts dashboard
    3. Case list
    4. Case investigation
  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 that emulates information used by investigators to fight fincrime.

The provided graph database has approximately 178 183 nodes and 3 203 993 edges. The graph contains 10 types of nodes:

  • persons
  • companies
  • loans
  • bank accounts
  • ATMs
  • addresses
  • emails
  • phones
  • phone numbers
  • ip addresses

Persons are linked to emails by the HAS_EMAIL edge.
Persons are linked to ip addresses by the HAS_IP_ADDRESS edge.
Persons are linked to loans by the HAS_LOAN edge.
Persons are linked to companies by the IS_OFFICER_OF edge.
Persons and companies are linked to phones by the HAS_PHONE_NUMBER edge.
Persons and companies are linked to addresses by the HAS_ADDRESS edge.
Persons and companies are linked to bank accounts by the HAS_BANK_ACCOUNT edge.
Companies are linked to each other bythe IS_SHAREHOLDER_OF edge.
Loans are linked to persons by the HAS_GUARANTOR edge.
Loans are linked to companies by the HAS_BROKER edge and the HAS_REALTOR edge.
Bank accounts are linked to each other by the HAS_TRANSFERED 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.