Relationship Analysis Client

The Relationship Analysis Client component of the Data Hub Module is used to view data in a graphical manner that identifies and depicts structure and relationships between entities. You can view and manipulate models that were created in the Write to Hub stage, or you can create new models in the Relationship Analysis Client itself. You can also use the tool to manipulate entities and relationships based on their properties and values.

  • Click here for an overview of the Relationship Analysis Client canvas.
  • Click here to read about managing models, including:
    • An overview of data for each model
    • Information on adding centrality measures to a model as well as a list of details that are provided on the Jobs tab after you apply those measures
    • Information on defining monitors to watch for data changes that meet certain conditions
  • Click here to read about all the ways you can view and manipulate the contents of a model, including:
    • The functions of the Model Detail and Query tabs in the Open Model window
    • The buttons on the Canvas Options ribbon
    • Using the Selection and Query tools
    • Using filters
  • Click here to read about how to change the appearance of elements in a model, including:
    • Viewing a model in multiple ways simultaneously
    • Determining the appearance of entities and relationships
    • Configuring gradient settings to visually depict a range of values
    • Applying Panel Style to a model's entities and show property data
    • Configuring and applying themes to models, which potentially saves you time if you have multiple models that you want to look the same
    • Applying layouts that change the visual structure of models based on what you want to emphasize (for example, group structure, heirarchy, locations, and so on)
  • Click here to read about how to analyze data in a model, including:
    • Using the Discovery feature to load specific information based on conditions that you set, then add back in elements that were excluded in the original load.
    • Running centrality algorithms on models
    • Using groups to reveal latent relationships
    • Adding and deleting entities and relationships as well as the properties tied to those elements.