Sub-social Network Creation via Contextual Inferencing
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Solution Overview
Problem
Social networking systems face challenges in efficiently managing and distributing content to users based on their interests, leading to unnecessary data dissemination and reduced responsiveness due to the lack of dynamic sub-social network creation and effectiveness quantification.
Innovation Solution
A method and system that analyze social network activity to determine interest categories and create sub-social networks dynamically, allowing for targeted content distribution to users most likely to consume it, while preventing unnecessary dissemination to others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is distributed to all users in the social network, then content reach is maximized, but bandwidth usage increases and distribution efficiency decreases
Solution Approach 1:
The patent divides the social network into multiple sub-social networks based on user interests and activity patterns. Each sub-social network contains users with similar interests, allowing content to be distributed only to relevant subsets rather than all users. This segmentation reduces unnecessary bandwidth consumption while maintaining distribution efficiency by targeting the right audiences.
2Measurement precision
If sub-social networks are created dynamically based on user activity, then content targeting accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements dynamic sub-social network creation where the network structure adapts automatically based on user activity patterns and interest categories. The system continuously monitors user behavior, updates interest categorizations, and reconfigures sub-social networks accordingly. This dynamic approach improves content targeting accuracy while the automated nature of the process manages system complexity through algorithmic adaptation rather than manual configuration.
3Speed
If content is distributed proactively to relevant users, then responsiveness improves, but data processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by pre-categorizing users into interest categories and pre-organizing them into sub-social networks based on their activity patterns. This advance preparation allows the system to quickly distribute content to relevant users when content becomes available, improving responsiveness without requiring intensive real-time data processing during content distribution. The heavy lifting of user analysis and categorization is done in advance.
Data Source
AI summary
Creating sub-social networks based on contextual inferencing may include analyzing, using a processor, social network activity among a plurality of users that belong to a social network and determining, using the processor, an interest category according to the social network activity. A sub-social network for the interest category may be created using the processor. The sub-social network may include a subset of the plurality of users of the social network having an association with the interest category.