Social Network Influencer Analysis via Topic Cloud Cross-Verification
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Solution Overview
Problem
Enterprises face challenges in monitoring and analyzing social network content, particularly in identifying and understanding the influence of key individuals within these networks, which is crucial for leveraging collective intelligence and user preferences.
Innovation Solution
A method and system for analyzing social network content that identifies key influencers by creating influencer topic clouds and overall topic clouds, cross-verifies their attributes, determines the volume of social interaction, and visualizes this interaction to identify and assess their influence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If enterprises monitor and analyze all social network content, then comprehensive insights are obtained, but the complexity and resources required increase significantly
Solution Approach 1:
The patent extracts and focuses analysis on key influencers within the social network rather than analyzing all users and content. This selective extraction of important elements (key influencers) allows enterprises to obtain comprehensive insights about influential opinions and trends without the overwhelming complexity of monitoring entire social networks.
Solution Approach 2:
The patent introduces key influencers as intermediaries between enterprises and the broader social network. By analyzing content from these intermediary nodes, enterprises can indirectly gain insights into broader social network sentiments and trends, reducing the need to directly monitor all network content.
2Measurement precision
If key influencers are identified through detailed analysis, then accuracy of influence assessment improves, but the time and computational resources required increase
Solution Approach 1:
The patent replaces manual or traditional analytical methods with automated computational algorithms for identifying key influencers and analyzing their content. This substitution enables precise influence assessment through systematic analysis of social interactions, engagement metrics, and content propagation patterns, achieving high accuracy while reducing manual time investment.
Solution Approach 2:
The patent utilizes multiple parameters and metrics (such as engagement rates, reach, influence score, social interaction volume) to identify and assess key influencers. By changing and combining different measurement parameters, the system achieves comprehensive and accurate influence assessment efficiently through automated multi-criteria evaluation.
Data Source
AI summary
This technology relates to a method, non-transitory computer readable medium, and influencer analyzing computing device for analyzing content associated with one or more influencers of at least one social network. This technique involves identifying key influencers of at least one social network with respect to a topic of interest. Thereafter, an overall topic cloud and an influencer topic cloud for each key influencer is created and analyzed. The overall topic cloud and an influencer topic cloud are compared to cross-verify if the identification of the key influencers is correct. After that, volume of social interaction of the key influencers with respect to the topic of interest are determined and visualized.