Circle Model for Dynamic Social Group Management
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Solution Overview
Problem
Current communication technologies fail to effectively manage and simplify interactions within small social circles, as users struggle to conceptualize and maintain consistent group memberships, leading to confusion and reduced utility due to differing perceptions of circle members.
Innovation Solution
A circle model powered suggestions and activities system that analyzes public and private data to model relationships, generate suggested activities, and manage relationships by tracking interactions, providing a dynamic and personalized approach to social circle management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a static, global list of group members is maintained, then group membership consistency is improved, but adaptability to individual user perceptions deteriorates
Solution Approach 1:
The patent segments group membership into multiple dynamic circles, each representing different user perceptions. Instead of a single static global list, the system creates multiple circle instances (e.g., Alice's circle, Bob's circle) that can have different memberships. This segmentation allows each user to have their own personalized view of the group while maintaining overall system consistency.
Solution Approach 2:
The patent introduces dynamic membership where group composition can vary across different circles and change over time. Members can be added or removed from specific circles without affecting other circles. This dynamic approach allows the system to adapt to individual user perceptions while maintaining stability through the structured circle model.
2Measurement precision
If manual entry of individual identifiers is required for each message, then precision in targeting is improved, but ease of operation deteriorates
Solution Approach 1:
The patent creates circles as universal containers that can be reused across multiple messaging operations. A single circle definition serves multiple purposes and can be referenced repeatedly, eliminating the need to manually enter identifiers for each message while maintaining precise targeting through the circle membership structure.
Solution Approach 2:
The patent requires preliminary creation of circles with defined memberships before messaging. By pre-organizing target groups into circles, the system eliminates the need for repeated manual identifier entry during messaging operations, improving ease of operation while maintaining targeting precision through the pre-defined circle structures.
3Adaptability or versatility
If personal lists are created for each user, then individual customization is improved, but device complexity deteriorates
Solution Approach 1:
The patent merges individual user lists into a unified circle model that can be shared and referenced by multiple users. Instead of maintaining separate personal lists for each user, the system combines them into circles that can be collectively managed and referenced, reducing overall system complexity while preserving individual customization through circle membership variations.
4Productivity
If new members are added to groups, then group utility is improved, but group coherence deteriorates
Solution Approach 1:
The patent segments group membership across multiple circles, allowing new members to be added to specific circles without affecting others. This segmentation enables selective inclusion where different circles can have different membership compositions, maintaining coherence within each circle while improving overall group utility through expanded access.
Data Source
AI summary
The circle model powered suggestions and activities system provides a way to efficiently and effectively manage relationships. The circle model powered suggestions and activities system provides a way to model relationships for a user and assist the user with creating groupings of relevant constituents into context circles, provide suggested activities to members of the modeled relationships as well as facilitate the user with managing the user's relationships. The system analyzes public and private data, and tracks the user's interactions and the interactions of the constituents' of the user in order to generate suggested activities (including conversation starters) for the users and the constituents of the users. The system refines the semantic analysis and learning algorithms used to perform the analysis by analyzing the activities engaged in by the users and the constituents of the users related to suggested activities.