Hypergraph-Based Influencer Identification for Targeted Marketing
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Solution Overview
Problem
Current advertising mechanisms are ineffective in influencing potential customers to purchase items, as they do not adequately account for influencer relationships and opinion influences within social networks, leading to insufficient marketing impact.
Innovation Solution
A hypergraph-based system that identifies influencers within a social network by representing people, relationships, and opinion influences, generating targeted incentives to influence potential customers to purchase specific items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional online advertising is used to market items to potential customers, then advertising coverage is achieved, but marketing effectiveness is insufficient due to users ignoring advertisements
Solution Approach 1:
The patent introduces influencers as intermediary entities between the marketing system and potential customers. These influencers are identified through social network analysis and are used to indirectly influence customer opinions and purchasing decisions, thereby improving marketing effectiveness while maintaining reliable advertising impact
Solution Approach 2:
The system implements feedback mechanisms by analyzing social network data, opinion influences, and relationship structures to identify effective influencers. This feedback loop allows the system to continuously optimize marketing strategies based on actual social dynamics and customer responses
2Productivity
If advertising mechanisms account for influencer relationships and opinion influences within social networks, then marketing impact is enhanced, but system complexity increases due to hypergraph-based analysis
Solution Approach 1:
The patent extracts and isolates the critical factor of influencer relationships from the complex social network structure. By focusing specifically on identifying and leveraging key influencers rather than analyzing entire social networks, the system enhances marketing impact while managing complexity through selective extraction of relevant elements
Solution Approach 2:
The system segments the complex social network into manageable components by identifying discrete influencer nodes and their specific influence relationships. This segmentation allows the hypergraph-based analysis to process complex social dynamics in structured, manageable units, balancing marketing impact with system complexity
Data Source
AI summary
A method and apparatus for influencing a potential customer to purchase an item. The item for targeted marketing is identified. The potential customer in a social network for the item is identified. An influencer that has an influence on the potential customer with respect to the item is identified using a hypergraph comprising objects representing people in the social network; edges connecting the object nodes for the people based on relationships between the people; and influence edges representing opinion influences on opinions about items, wherein the influence edges connect the edges to identify opinion influences between the people. An incentive directed to the influencer to influence the potential customer to purchase the item is generated. A display of the incentive in an application running on the client device for the influencer is initiated.