Online Relationship Aggregation for Network Interaction Control
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Solution Overview
Problem
Current online platforms lack the ability to effectively represent and manage the diverse, multifaceted relationships between individuals and groups in a way that mirrors real-world interactions, leading to isolation and inefficiencies in communication and collaboration, particularly in fragmented industries like healthcare.
Innovation Solution
A system that allows for the evolution and management of online relationships through the aggregation of relationship features and roles, enabling nuanced interactions based on specific relationship types, permissions, and features, facilitating communication and collaboration tailored to the nature of each connection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a one-size-fits-all relationship model is used in online networks, then system simplicity is maintained, but the ability to represent diverse real-world relationships is lost
Solution Approach 1:
The patent segments relationships into distinct types (personal, professional, academic, etc.) with specific features for each type. This allows the system to represent diverse relationships without requiring a single complex model, as each relationship type can be managed with its own simplified feature set.
Solution Approach 2:
The patent implements dynamic relationship evolution where relationships can transition between states (e.g., from acquaintance to friend to close friend). This dynamic approach allows the system to adapt to real-world relationship changes while maintaining manageable complexity through predefined transition rules.
2Measurement precision
If detailed relationship features are tracked for each connection, then interaction management precision is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by assigning specific features to specific relationship types rather than requiring all relationships to have all possible features. For example, professional relationships may have organization and job title features while personal relationships have different features, reducing overall data complexity while maintaining precision where needed.
Solution Approach 2:
The patent creates a universal relationship framework that can accommodate multiple relationship types through a common structure. This universal model handles diverse relationship features through a standardized interface, reducing the complexity of managing different relationship types separately while maintaining the precision needed for each type.
3Adaptability or versatility
If multiple relationship types are supported, then user connectivity options are improved, but interaction management difficulty increases
Solution Approach 1:
The patent implements preliminary action by pre-defining relationship types and their associated features and interaction rules. This allows users to simply select from predefined options when creating relationships, rather than manually configuring each relationship parameter, thereby maintaining ease of operation while supporting multiple relationship types.
Solution Approach 2:
The system automatically manages relationship interactions based on the defined relationship type and features, reducing manual management effort. For example, the system can automatically determine appropriate communication channels, visibility settings, and interaction permissions based on the relationship classification, making interaction management easier while supporting diverse connection types.
Data Source
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AI summary
A method is provided for evolving a defined online existing relationship between a first member and a second member, the online existing relationship defined by a plurality of existing relationship features for use in managing network interaction on a communications network between the first member and the second member. The method comprising: receiving a new online relationship having new relationship features such that the new features are different from the existing relationship features, the new relationship features being characteristic of the new relationship; aggregating the existing relationship features and the new relationship features as aggregate relationship features a combination of the existing relationship features and the new relationship features in order to define an aggregate relationship; storing the aggregate relationship features in a storage as relationship data representing the aggregate relationship defined by the relationship features; and accessing the relationship data in order to determine whether a selected network interaction from one of the members is permitted in view of at least one of the corresponding aggregate relationship features of the aggregate relationship, and facilitating the selected network interaction between the members when determined as permitted; wherein said at least one of the corresponding aggregate relationship features of the aggregate relationship is used to define as permitted at least one of the network interaction type, the network interaction content, or the network interaction format.