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Reveal Review Publication

Data Visualization

Reveal AI dynamically creates data visualizations based on the data that are being interrogated. Users can choose from 3 presentation styles:

  • Connection Map -- communications between people.

  • Tree Map -- conceptual clustering.

  • Cards -- summary descriptions of unusual activity.

See the links below for details on each subject.

Connection Map is used to draw communication relationships between different people. The visualization shows a person’s name, with whom he/she communicates, and how many times they communicate.

  1. Navigation control - The Navigation control lets users move, zoom in/out or drag the visualization.

  2. Connections - Adjust visualization and reduce clutter by using minimum connections.

  3. Grouping - The grouping feature affects how nodes cluster within the data visualization. Higher values give smaller clusters, but more of them. Lower values give larger clusters, but not as many.

  4. Layout - Layout determines the orientation of data visualized:

    • Standard

    • Hierarchical

    • Structural

    • Radial

    • Lens

    • Organic

  5. Network Analysis - The Network Analysis settings are used to change how nodes within the data visualization are highlighted and oriented.

  6. Link Label - Link Label is used to annotate the inflow and outflow of messages to provide context for the communication patterns of 2 people by Reciprocity and Volume.

  7. Emotions - In the settings panel users can overlay any emotional intelligence models to visualize communication patterns and find documents expressing specific sentiments.

  8. COSMIC Score - The COSMIC feature only works after COSMIC has been run at least once. A user selects from predefined High, Medium, or Low values for any COSMIC models that are a part of their storybook.

  9. Time Chart - The Time chart displays the visualization with time information. The time bar is located at the bottom of the visualization when a user selects this mode.

  10. Maximum Connections and Search Chart Function - String search lets a user find entities in the visualization quickly when too many entities are loaded.

  11. Glyphs - There are 2 glyphs used to represent the identity of the entities in the visualization:

    • Selection Indicator .603e7360a5b14.png

    • Custodian Indicator 603e736205593.png.

The tree map is a visual representation of Reveal AI’s intelligent clustering technology. There are two important visual factors: size and color. A bigger size of block represents larger amount of documents, while darker color represents more hits are from the underlying cluster when you run a search.

  1. Navigation Control - Tree mapping in Reveal AI visualizes documents by clustered segments. Documents in each segment are clustered based on the subject matter topics discussed with highly involved documents being a darker shade and segments with more documents being larger.

  2. Tree map with searching - Users can add keywords and filter conditions to modulate the data visualization as they desire in Cluster Tree Mapping just like in Connection mode.

C.  Cards

Cards represent patterns in a user’s data. “Cards” mode dynamically builds around a set of documents, and presents stories found from the dataset. The side bar color represents uniqueness scores. Darker color means more unique, or higher abnormal score.