Social Network Invitation Management with Dynamic Forwarding Rules
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Solution Overview
Problem
Current social network communication systems lack efficient methods for managing multi-participant tasks and resource allocation among social network members, with limited control over invitation message distribution and feedback monitoring.
Innovation Solution
A method and system for managing communication among social network members that allows users to define and monitor invitation messages with forwarding rules, feedback requirements, and resource allocation, enabling dynamic adjustments and conditional participation based on social network connections and availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If invitation messages are distributed freely among social network members, then the reach and participation in multi-participant tasks increase, but the control over message distribution and feedback monitoring deteriorates
Solution Approach 1:
The system dynamically adjusts forwarding rules based on task requirements and participant responses. Forwarding permissions, quotas, and conditions are not static but can be modified in real-time based on task progress, participant behavior, and system policies, allowing the control mechanism to adapt rather than requiring complex pre-planning for all scenarios
Solution Approach 2:
The system changes key parameters of message distribution such as forwarding quotas, permission levels, and conditional requirements based on task stage and participant performance. By adjusting these parameters dynamically, the system maintains effective control without requiring a permanently complex control structure
2Device complexity
If forwarding rules are strictly enforced to maintain control, then the distribution control improves, but the flexibility and adaptability of the system deteriorates
Solution Approach 1:
The system transitions from static, rigid forwarding rules to dynamic rules that automatically adjust based on task progress, participant behavior, and system conditions. This allows the system to maintain control structures while adapting flexibly to different scenarios without requiring manual reconfiguration
Solution Approach 2:
The system implements continuous monitoring of participant responses and task progress, using this feedback to automatically adjust forwarding rules and control parameters. This feedback loop enables the system to adapt to changing conditions while maintaining control, rather than requiring predetermined rigid rules for all possible scenarios
3Measurement precision
If manual monitoring of each invitation message is performed, then the feedback monitoring accuracy improves, but the time and resources required deteriorates
Solution Approach 1:
The system implements automated self-monitoring through embedded tracking codes and automatic response collection mechanisms. Invitation messages and participant responses are automatically monitored, tracked, and processed by the system itself without requiring manual intervention, achieving both high accuracy and efficiency
Solution Approach 2:
The system establishes automated feedback collection channels where participant responses are automatically transmitted back to the system for processing. This automated feedback loop enables precise monitoring of all invitation messages and responses without manual time investment
Data Source
AI summary
A method for managing communication among a plurality of social network members. The method comprises defining a multi participant task, setting at least one forward rule limiting the distribution an invitation message for participating in the multi participant task, forwarding the invitation message to at least one addressee from a plurality of social network members, allowing the at least one addressee to forward the invitation message to at least one additional addressee from the plurality of social network members under the at least one forward rule, monitoring a plurality of feedbacks to the invitation message to determine whether the multi participant task is achieved, and updating a status of the multi participant task according to the determination.