Family Networking Platform Private Messaging Segmentation
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Solution Overview
Problem
Existing online social networking platforms lack effective methods to manage and enhance family interactions, particularly in terms of privacy and relationship bonding within family groups, leading to suboptimal engagement and communication experiences.
Innovation Solution
A family networking computing platform that identifies family members, determines interaction scores, generates a family bonding index, and provides a private messaging service with advanced chat protocols allowing for private interactions, including private replies and spinoff chats, ensuring secure and personalized communication within family networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a private messaging service is provided for family members, then family interaction privacy is improved, but system complexity increases
Solution Approach 1:
The messaging system is segmented into distinct communication modes: public family group chats and private one-on-one messaging channels. This segmentation allows different privacy levels for different interaction types, protecting private family communications while maintaining overall system functionality without requiring complete system redesign for privacy.
Solution Approach 2:
The patent introduces an intermediary messaging platform that sits between family members and the broader social network. This intermediary layer handles private communications separately from public family interactions, managing privacy requirements without forcing complexity into the entire social networking system.
2Measurement precision
If family bonding index is calculated and used to update relationships, then relationship management accuracy is improved, but computational requirements increase
Solution Approach 1:
The system calculates family bonding index selectively for active family member pairs rather than continuously for all possible relationships. This partial action approach maintains accurate relationship management for relevant pairs while avoiding unnecessary computational overhead for inactive or less significant relationships.
Solution Approach 2:
The bonding index calculation leverages existing interaction data already collected for other platform functions (messaging logs, interaction patterns). By reusing this existing data infrastructure, the system achieves precise relationship measurement without duplicating data collection or requiring separate computational resources.
3Adaptability or versatility
If multiple chat protocols are provided including private replies and spinoff chats, then communication versatility is improved, but system complexity increases
Solution Approach 1:
Private replies and spinoff chats are implemented as nested communication structures within the main family group chat. A private reply embeds a private message thread within a public group context, while spinoff chats create nested sub-groups. This nesting allows multiple communication modes to coexist without requiring completely separate systems for each protocol.
Solution Approach 2:
The messaging system is designed with universal protocols that can operate in multiple modes (public, private, group, spinoff) using the same underlying infrastructure. This multi-functionality approach allows versatile communication options while avoiding the complexity of maintaining separate specialized systems for each chat type.
Data Source
AI summary
In one aspect, a method of a managing an online social network includes the step of providing an online social network. The online social network includes a set of nodes, wherein each node represents a user and a set of relationships between each node. The method includes the step of identifying a set of users that are members of the same family. The method includes the step of identifying each node of the set of users that are members of the same family. When a member of the set of users interacts with another member of the set of users determine an interaction; determine a family-relationship status between the member and the other member; and score the interaction. The method includes the step of generating a family bonding index based on the family relationship status of the member and the other member and the score the interaction. The method includes the step of updating the set of relationships of the online social network based on the family bonding index. The method includes the step of providing an online social-networking messenger service. The online social-networking messenger service enables the member and the other member to interact via a chat protocol. The chat protocol comprises private chat messages between the member and the other member that are not visible to any other user of the online social-networking messenger service.