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Welcome to Linkurious user manual v4.1.9. Use the menu to access other documentations.
  1. Introduction
  2. Spaces
  3. First visualization
    1. At first glance
    2. Create a new visualization
    3. Inspect data
  4. Manage visualizations
    1. Open rename delete
    2. Moving visualizations
    3. Share
    4. Duplicate
  5. Queries
    1. Creating queries
    2. Tagging queries
    3. Running and managing queries
  6. Custom actions
  7. Search
    1. Searching for nodes
    2. Searching for edges
    3. Advanced search
    4. Advanced syntax
  8. Manipulating the graph
    1. Auto-save
    2. Select nodes and edges
    3. Expand nodes
    4. Node Grouping
    5. Edge Grouping
    6. Lasso
    7. Hide
    8. Layouts
    9. Pinning nodes
    10. Undo/redo
    11. Shortcuts
    12. Publish
    13. Export
  9. Design
    1. Captions
    2. Nodes color
    3. Edges color
    4. Nodes size
    5. Edges size
    6. Icons
  10. Filters
    1. Filter panel
    2. Timeline
  11. Comments
    1. Comments panel
  12. Edit data
    1. Edit properties and categories
    2. Create nodes and edges
    3. Delete nodes and edges
  13. Geography
    1. Geographic data
    2. Display a geographic map
  14. Alerts
    1. Setting up alerts
    2. Alert creation example
    3. Alerts Navigation
    4. Investigating cases
    5. Lexicon
  15. Guest Mode
 

Alerts: Lexicon

Alerts Lexicon

In this section, you can find useful definitions of commonly used vocabulary within the Alerts feature.

  • Alert houses the criteria/hallmarks identified by investigators to detect occurrences of fraud automatically.
  • Model is a subset of criteria representing 1 pattern used for occurences detection.
  • Target is the entity used to deduplicate and group occurrences.
  • Case is a subgraph built from all occurrences relating to an entity (target).
  • Case attribute is a datapoint (either raw or computed) from the case’s graph.
  • Context is the nodes and edges added automatically to the case’s graph. It does not account for manually added nodes and edges.