Adaptive Recombinant System for Social Networks
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Solution Overview
Problem
Current computer-based information management approaches, such as flat files and relational database management systems, are brittle and limited in their ability to adapt to changing circumstances and user requirements without manual intervention, leading to software bottlenecks.
Innovation Solution
An adaptive recombinant system that tracks and infers user preferences and behaviors to dynamically modify its structure and content, enabling continuous adaptation and evolution, using a fuzzy network architecture to facilitate structural plasticity and syndication of system subsets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional information management approaches (flat files, RDBMS) are used, then system structure is stable and manageable, but adaptability to changing user requirements deteriorates
Solution Approach 1:
The patent implements dynamic systems where software components can automatically adapt their structure and behavior based on changing user requirements and usage patterns. The system evolves over time through automated learning and reconfiguration, transforming static information management structures into dynamic, self-adjusting systems that improve adaptability without proportional increases in complexity.
Solution Approach 2:
The patent employs self-organizing systems that automatically detect usage patterns, infer user preferences, and reconfigure themselves without manual intervention. The system performs self-diagnosis, self-learning, and self-reconfiguration, eliminating the need for continuous manual adaptation while maintaining high adaptability to changing requirements.
2Adaptability or versatility
If manual intervention is used to adapt systems, then adaptability improves, but productivity deteriorates due to time consumption
Solution Approach 1:
The patent implements systems that automatically monitor usage patterns, learn user preferences, and reconfigure themselves without human intervention. This self-service capability enables continuous adaptation to changing requirements while eliminating the time-consuming manual processes that previously reduced productivity.
Solution Approach 2:
The patent incorporates continuous feedback loops where system usage data is automatically collected, analyzed, and used to trigger adaptive reconfiguration. This closed-loop feedback mechanism enables the system to automatically respond to changing conditions, maintaining high adaptability while freeing users from manual intervention and improving overall productivity.
3Adaptability or versatility
If monolithic application structures are used, then system stability is maintained, but extensibility deteriorates
Solution Approach 1:
The patent decomposes monolithic applications into modular, independently deployable components that can be selectively activated and reconfigured. This segmentation enables the system to maintain stable core functions while allowing flexible extension through addition or modification of individual modules, resolving the contradiction between stability and extensibility.
Solution Approach 2:
The patent implements nested modular structures where smaller functional units are embedded within larger system components. This nested architecture allows the system to maintain overall stability while enabling granular extensibility—new functionality can be inserted at appropriate nesting levels without disrupting the entire system, achieving both stability and extensibility simultaneously.
4Adaptability or versatility
If frequent system updates are implemented, then adaptability improves, but loss of time for maintenance increases
Solution Approach 1:
The patent implements systems that automatically perform updates, reconfigurations, and optimizations without requiring maintenance intervention. The self-service capability enables continuous adaptation to changing requirements while eliminating the time loss associated with manual maintenance activities, as the system autonomously manages its own evolution.
Solution Approach 2:
The patent employs predictive analytics and usage pattern recognition to proactively prepare and schedule system updates during optimal times. By performing preliminary analysis and pre-configuring updates based on predicted usage patterns, the system minimizes disruption and reduces maintenance time loss while maintaining high adaptability through timely, targeted updates.
Data Source
AI summary
An adaptive system applied to social network and process network applications is disclosed. These adaptive social networking and tagging systems, and adaptive process network systems, apply algorithms for monitoring user usage behaviors across a plurality of usage behavior categories associated with a computer-based system, and generating recommendations based on inferences on user preferences and interests based, at least in part, on usage behaviors. Additional functions for effectively and efficiently managing social and process networks, such as social network measurement and analysis features, community tagging functions, and process network recombination functions are also described.