Social Network Activity Rate Tracking System
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Solution Overview
Problem
Current systems lack the ability to measure and rank digital content based on the rate of change in activity or speed of spread across online social networks, which is essential for understanding the popularity and relevance of digital objects such as news stories or web pages.
Innovation Solution
A system that tracks the rate of change in social network activity by measuring activity levels at different times and using a ranking module to assign scores based on this rate, allowing for the comparison and ranking of digital objects across multiple social networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If social network activity is tracked to measure popularity and spread velocity, then the ability to rank digital content is improved, but the complexity of the system increases due to multiple measurements across different networks and time points
Solution Approach 1:
The system divides the tracking process into distinct modules: a change measurement module that handles data collection and calculation, and a ranking module that processes the results. This segmentation allows each module to specialize in specific tasks, improving measurement precision while managing system complexity through functional decomposition
Solution Approach 2:
The patent introduces an intermediary processing layer that aggregates data from multiple social networks and calculates rate of change before passing results to the ranking module. This intermediary structure simplifies the overall system by pre-processing complex multi-network data into standardized metrics that are easier to rank
2Adaptability or versatility
If multiple social networks are monitored simultaneously to track digital object spread, then the comprehensiveness of activity tracking is improved, but the time required for data collection and processing increases
Solution Approach 1:
The system performs preliminary actions by establishing connections and query mechanisms with multiple social networks in advance. The change measurement module is pre-configured to retrieve activity data from various networks, allowing simultaneous multi-network monitoring without sequential delays, thus reducing overall data collection time while maintaining versatility
3Measurement precision
If activity levels are measured at multiple time points to calculate rate of change, then the accuracy of popularity ranking is improved, but the frequency of queries and data processing increases
Solution Approach 1:
The system implements periodic action by measuring activity levels at discrete time intervals rather than continuously. The change measurement module retrieves data at specific time points, calculates the rate of change between intervals, and updates rankings periodically. This approach maintains accurate rate of change calculations while reducing query frequency compared to continuous monitoring
Data Source
AI summary
A system of tracking rate of change of social network activity associated with a digital object includes a change measurement module in communication with at least one social network database and a ranking module in communication with the change measurement module. The change measurement module measures a change in the level of social network activity associated with the digital object based on a first object value and a second object value. The first object value is based on a measurement of activity associated with the digital object in at least one social network at a first time, and the second object value is based on a measurement of activity at a second time. The ranking module ranks the digital object relative to at least one other digital object based on a score derived from a rate of change in social network activity.