Visualizing Entity Relationship Dynamics via Connection Geometry
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Solution Overview
Problem
Existing methods for visualizing social networks and entity relationships lack intuitive and flexible representations that effectively convey the recentness and balance of interactions between entities, making it difficult to immediately understand relationship dynamics.
Innovation Solution
A computer-implemented method that receives interaction information to determine recentness and balance measures for entity relationships, presenting visual representations with connection length and shape corresponding to these measures, allowing for intuitive visualization of social graphs and business connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional social network visualizations are used, then the basic structure of relationships can be displayed, but the recentness and balance of interactions cannot be effectively conveyed
Solution Approach 1:
The patent applies local quality by making different parts of the connection have different visual properties. Specifically, the connection between entities has varying width along its length, where the width at each point represents the balance of interaction between the two entities. This allows the visualization to convey relationship dynamics (improving information retention) while maintaining a relatively simple graph structure (controlling complexity).
Solution Approach 2:
The patent adds a visual dimension to represent relationship attributes. By using the width of connections to represent interaction balance and the positioning to represent recentness, the visualization transforms abstract relationship data into perceptible visual properties. This dimensional approach allows multiple relationship characteristics to be displayed simultaneously without significantly increasing structural complexity.
2Loss of information
If detailed interaction information is included in visualizations, then relationship dynamics can be understood, but the visualization becomes less readable and intuitive
Solution Approach 1:
The patent uses visual property changes (analogous to color changes) to encode interaction information. The width of connections varies to represent balance metrics, and the positioning represents recentness. This visual encoding allows detailed interaction information to be conveyed through intuitive visual properties rather than text or numerical data, maintaining readability while preserving information.
Solution Approach 2:
The patent segments the connection between two entities into multiple visual segments with different widths. Each segment's width represents the interaction balance at that point in time, allowing detailed interaction history to be visualized as a continuous gradient rather than discrete data points. This segmentation approach preserves interaction details while maintaining visual simplicity.
Data Source
AI summary
A computer-implemented method for generating a visual representation of entity relationships includes: receiving interaction information for relationships that a first entity has with regard to each of a plurality of second entities; determining, using the received interaction information and for each of the relationships, a first measure indicating a recentness of the relationship and a second measure indicating a balance of the relationship between the first and second entities; and presenting, using one or more processors, visual representations of at least some of the relationships, the visual representations comprising connections having length and shape corresponding to the first and second measures, respectively.