Universal Social Graph Maintenance via Automatic Relationship Pruning
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Solution Overview
Problem
Social graphs maintained by different social networking services often duplicate user relationships and lack synchronization, making it tedious for users to keep their networks up-to-date and relevant as their interests and preferences evolve.
Innovation Solution
A system and method for social graph maintenance that aggregates data from multiple social network services, generates a universal social graph, and automatically eliminates relationships based on inactivity, using engagement criteria to maintain relevance and provide analytics, suggestions, and notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually maintain social graphs across multiple social networking services, then the social graphs can be kept up-to-date, but the maintenance task becomes onerous and tedious
Solution Approach 1:
The system enables automatic maintenance of social graphs by having the social networking service perform maintenance operations without requiring user intervention. The service monitors social actions, determines relevance of nodes, and automatically eliminates irrelevant relationships, allowing the system to maintain itself rather than requiring manual user effort.
Solution Approach 2:
The system continuously monitors social actions and user interactions to dynamically adjust the social graph. By tracking engagement patterns and feedback from user behavior, the system automatically identifies and removes irrelevant nodes, ensuring the social graph remains relevant without manual intervention.
2Quantity of substance
If social graphs are maintained across multiple social networking services, then comprehensive user relationships are captured, but duplication and lack of synchronization occur
Solution Approach 1:
The system consolidates social graphs from multiple social networking services into a unified structure. By merging data from Facebook, Twitter, Pinterest and other services into a single social graph maintained by the content publisher, the system eliminates duplication and ensures synchronization across all services while capturing comprehensive user relationships.
Solution Approach 2:
The social graph maintenance system serves multiple social networking services simultaneously through a universal maintenance mechanism. The same system infrastructure and algorithms are used to maintain graphs across different platforms, providing consistent synchronization and relationship management across diverse services.
3Reliability
If users actively manage their social graphs to reflect evolving preferences, then relevance is maintained, but the continuous upkeep becomes tedious
Solution Approach 1:
The system automatically adapts to evolving user preferences by monitoring social actions and engagement patterns. The maintenance operations are performed autonomously based on detected changes in user behavior, eliminating the need for users to spend time manually updating their social graphs as their interests evolve.
Solution Approach 2:
The system proactively identifies and eliminates irrelevant nodes before they become problematic. By continuously monitoring engagement criteria and predicting future relevance based on current patterns, the system performs maintenance actions in advance, preventing the accumulation of irrelevant relationships that would otherwise require user attention.
Data Source
AI summary
A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing social graph maintenance services is presented. Consistent with some embodiments, the method may include accessing a social graph of a subject user. The social graph may include a plurality of nodes representing objects to which the subject user has a relationship and a plurality of edges representing the relationships. The method may further include determining that a particular node lacks relevance to the subject user. In response to determining that the particular node lacks relevance to the subject user, the relationship with the particular node is eliminated.