Decentralized Network Interest Propagation
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Solution Overview
Problem
In computer networks, users face the challenge of accessing relevant information sources they are not aware of due to the vast amount of data available, making it impractical to know about every potential source of interest.
Innovation Solution
A network architecture and method that uses a decentralized system to identify and connect users with common interests by analyzing their reading behavior, creating a virtual network that links users based on shared interests, and propagating information about accessed articles and sources through a probabilistic filtering mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually select information sources from the vast amount of available data, then they can access relevant information, but the time and effort required becomes unmanageable
Solution Approach 1:
The system enables information sources to automatically advertise their availability and relevance to potential users through the propagation mechanism, eliminating the need for users to manually search and discover sources. Sources self-promote their content through the network, and users passively receive relevant advertisements.
Solution Approach 2:
The patent introduces an intermediary propagation mechanism that acts as a mediator between information sources and users. This mechanism automatically matches sources with interested users based on topic interests, eliminating the need for direct user-to-source discovery and significantly reducing search time.
2Loss of information
If the system propagates information about all accessed articles to all users, then users receive comprehensive information about relevant sources, but network traffic becomes excessive
Solution Approach 1:
The system applies local quality by tailoring information propagation to specific user interests and locations in the network. Information about articles is propagated selectively to users whose declared interests match the article topic, rather than broadcasting to all users. This localized approach ensures comprehensive information delivery while minimizing unnecessary network traffic.
Solution Approach 2:
The patent implements partial action by propagating information selectively rather than universally. The system performs propagation only when there is a match between article content and user interests, achieving sufficient information coverage without the excessive action of broadcasting to all users, thus reducing network traffic while maintaining effectiveness.
3Adaptability or versatility
If the system analyzes user reading behavior to create personalized connections, then users receive highly relevant information, but the system complexity increases
Solution Approach 1:
The system performs preliminary action by having users pre-declare their topic interests before actual information propagation occurs. This advance preparation simplifies the system architecture, as the matching logic only needs to compare pre-stored user interests with article topics, rather than performing complex real-time analysis of reading behavior patterns.
Data Source
AI summary
In a network of computers, e.g. the internet, each computer records the information sources it accesses, and these records are used to identify computers whose users share common interests, as indicated by the sources they access. A virtual network is created linking computers whose users have been identified as sharing similar interests data on what sources have been accessed by each user are shared with neighbouring computers, a defined by the virtual network. Computers can also pass on information on sources accessed received from one neighbour to other neighbours.