Topic-Based Social Media Impact Scoring System
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Solution Overview
Problem
Existing approaches to identifying influential users on social media platforms are flawed, as follower count and page rank metrics can produce misleading results, especially when celebrity users are evaluated or when tweets are about current events with insufficient time for meaningful references.
Innovation Solution
A system that computes a topic-based impact score for users by combining power and authority metrics, using MapReduce techniques to process large datasets and determine user influence accurately across different topics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If follower count is used to identify influential users, then the selection process is simple and fast, but the results are misleading due to celebrity bias and timing issues
Solution Approach 1:
The patent transforms the single parameter approach (follower count) into a multi-parameter scoring system that includes authority score, power score, and topic-based impact scores. This changes the measurement parameters from simple quantity to weighted quality metrics, resolving the contradiction by maintaining computational efficiency while improving measurement accuracy through parameter transformation.
Solution Approach 2:
The patent creates a composite influence score by combining multiple independent metrics (authority from citation analysis, power from follower network analysis, topic relevance from content analysis). This composite approach integrates multiple measurement dimensions into a unified scoring system that eliminates the weaknesses of any single metric while preserving overall assessment efficiency.
2Measurement precision
If page rank metrics are used to evaluate user influence, then network structure is considered, but results are misleading for current events with insufficient time for meaningful references
Solution Approach 1:
The patent implements dynamic time-window-based analysis that adapts the evaluation period based on topic recency and event timing. For current events, the system uses shorter time windows to capture immediate impact, while for established topics it uses longer windows for comprehensive analysis. This dynamic adjustment resolves the contradiction by making the measurement system responsive to temporal context.
Solution Approach 2:
The patent performs preliminary authority score calculation based on citation relationships and network structure in advance, before specific topics or events are analyzed. This pre-computed authority metric is then combined with topic-specific power scores to produce final impact assessments, eliminating the need to wait for extensive reference accumulation while maintaining network-based measurement accuracy.
3Measurement precision
If topic-based impact scoring is implemented, then accurate user selection for specific topics is achieved, but computational complexity and data processing requirements increase
Solution Approach 1:
The patent segments the influence assessment process into three independent modular components: authority score calculation (network structure analysis), power score calculation (follower-based impact analysis), and topic relevance scoring (content analysis). Each module operates independently and can be computed separately, then combined to produce the final topic-based impact score. This segmentation reduces computational complexity by enabling parallel processing and independent optimization of each component.
Solution Approach 2:
The patent creates a universal scoring framework that can assess user influence across multiple topics simultaneously using the same authority and power metrics. The topic-based impact score is computed by combining these universal metrics with topic-specific relevance weights, allowing the system to handle diverse topics without requiring separate analysis pipelines, thus managing complexity while maintaining precision.
Data Source
AI summary
A system includes a processing device configured to execute instructions including accessing messages sent by a first user and other users. The instructions include identifying a first subset of messages that were sent by the first user and identifying a second subset of messages that are related to a first topic and were sent by the first user. The instructions include determining an authority value based on counts of the first and second subsets. The instructions include identifying a third subset of messages that resulted from the other users forwarding the second subset. The instructions include determining a power value based on a count of users that sent the third subset and computing an impact score for the first user on the first topic based on the authority and power values. The instructions include, based on the impact score, contacting the first user in relation to the first topic.