Dynamic Content Propagation via Proximity Weighting
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Solution Overview
Problem
Current computer systems fail to effectively propagate content in real-time across dynamic networks based on the locational proximity of network-joined Client Computers, lacking efficient mechanisms for weighting and disseminating content across mobile devices in social media and communications applications.
Innovation Solution
A computer system that interconnects Client Computers to form a distributed network, where content is weighted and disseminated based on proximity, favorability values determined by a Favorability Function, and presented to users dynamically, with mechanisms for adjusting content storage and presentation based on user preferences and network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is propagated across a distributed network of mobile devices, then real-time information dissemination is improved, but network bandwidth consumption and processing load increase
Solution Approach 1:
The patent implements proximity-weighted content propagation where content is preferentially disseminated to devices based on their spatial proximity to the content source. The system calculates geographic distances between devices and uses these distances as weighting factors in the propagation algorithm, thereby concentrating network traffic locally rather than distributing it uniformly across the entire network. This resolves the contradiction by improving real-time dissemination efficiency while reducing overall bandwidth consumption through localized propagation.
Solution Approach 2:
The system dynamically adjusts propagation parameters including proximity weights, favorability scores, and content freshness metrics based on real-time network conditions and device characteristics. By changing these parameters adaptively, the system optimizes the balance between dissemination speed and resource consumption, allowing faster propagation when resources are abundant and more selective propagation when bandwidth is constrained.
2Ease of operation
If multiple weighting mechanisms are applied to content, then content relevance and user experience are improved, but computational complexity increases
Solution Approach 1:
The patent combines multiple weighting mechanisms (proximity weighting, favorability weighting, and content freshness weighting) into a unified content score calculation. Rather than implementing separate complex systems for each weighting type, the invention merges them into a single integrated algorithm that computes an overall content propagation score. This resolves the contradiction by maintaining high content relevance through multiple weighting factors while reducing computational complexity through consolidation.
Solution Approach 2:
The system uses simplified proxy calculations and pre-computed lookup tables for certain weighting components. For example, proximity weights are calculated once and cached, and favorability scores are aggregated from user feedback rather than computed in real-time for each propagation decision. These copying and caching strategies reduce the computational burden while preserving the effectiveness of multiple weighting mechanisms.
3Productivity
If content propagation is restricted to nearby devices, then network efficiency is improved, but adaptability to different network conditions decreases
Solution Approach 1:
The patent implements a dynamic propagation system that adjusts the proximity threshold and weighting parameters based on real-time network conditions, content type, and user preferences. When network conditions are favorable or content is highly relevant, the system expands propagation beyond immediate proximity. When resources are constrained, it contracts to local propagation. This dynamic adjustment resolves the contradiction by maintaining network efficiency through proximity-based propagation while adapting to varying network conditions and content priorities.
Data Source
AI summary
The invention concerns computer systems that are specially adapted to propagate content over a dynamic network, substantially in real time, by virtue of the locational proximity of network-joined Client Computers. Preferably, the content will also be weighting (for example, proximity-weighting, rank-weighting, topic-weighting, query-weighting, time-weighting, location-weighting, locality-weighting, vote-weighting, segment-weighting, etc.). The invention particularly concerns such computer systems that employ more than one such weighting. The invention particularly concerns such computer systems that operate using, or through, mobile devices, particularly for distributed computing applications, including social media applications and communications applications conducted over Restricted Computer Networks.