Social Network User Impact Scoring via Sub-Network Segmentation
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Solution Overview
Problem
Existing social network systems fail to accurately measure a user's impact within their own community, as they often do not distinguish between users' influence in different networks, leading to unfair advantages or disadvantages based on unrelated factors.
Innovation Solution
A computer-implemented method to determine a user's impact score by analyzing responses to their posts, including likes and comments, and weighting them based on age and the size of their content pool, allowing for a relative comparison of influence across different social networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing social network systems score users' impact relative to other users across the entire network, then marketing purposes are served by identifying influential users, but users are disadvantaged by factors unrelated to their true impact within their own particular group or sub-network of friends
Solution Approach 1:
The patent segments the social network into distinct sub-networks based on user friendships, calculating impact scores independently for each sub-network. This segmentation allows the system to measure a user's influence within their specific community context rather than across the entire network, eliminating unfair comparisons with users from different social circles.
Solution Approach 2:
The patent applies local quality by computing impact scores specific to each user's sub-network context. Each user receives an impact score that reflects their influence within their particular friend group, allowing for differentiated evaluation based on local community characteristics rather than a uniform global scale.
2Productivity
If users are provided promotional deals or asked to provide positive reviews based on global influence scores, then marketing objectives are achieved, but users with smaller personal networks are at an immediate disadvantage
Solution Approach 1:
The patent implements dynamic impact scoring that adapts to each user's specific network structure. Instead of using a static global influence metric, the system dynamically calculates impact scores based on the unique composition and characteristics of each user's sub-network, allowing fair comparison across users with different network sizes and structures.
Data Source
AI summary
A method and apparatus for determining a user's impact in an online social network based on responses by other users to posts made by the user are provided. Responses by other users to one or more posts by the user are received. A response score is determined for each of the one or more responses. A post score is determined for each post by the user, based at least in part on the response score for that post. A cumulative score is determined based at least in part on the post score. An impact score is determined based at least in part on the cumulative score of the user and a total number of friends that the user has within the online social network. The impact score represents that user's impact or influence within his or her online social network, regardless of the particular size of that network.