Trust Connection Signals for Authentic Warm Introduction Discovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing social networking systems, such as LinkedIn, rely on direct connection data that can be easily manipulated and fail to accurately represent true connection strength, limiting the discovery of warm connections.
Innovation Solution
A system that uses data from various sources, including social media, financial transactions, and location data, applies algorithms to assign a grade to connection strength based on probability and inferred authenticity, recommending potential introductions beyond direct links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct connection data is used to represent network connections, then the system is simple to operate and easy to understand, but the connection strength can be easily manipulated and does not accurately represent true connection strength
Solution Approach 1:
The patent transforms the connection representation from simple binary (connected/not connected) to a multi-dimensional parameter system including connection strength grades, warmth indicators, and probability scores. This is achieved by analyzing multiple data sources and assigning numerical values that reflect true connection strength, thereby improving measurement precision without requiring fundamental system redesign
Solution Approach 2:
The system introduces intermediary algorithms and processing layers that analyze data from multiple sources (social media, financial transactions, location data) to determine connection strength. These intermediaries act as mediators between raw data and the final connection representation, filtering out manipulation while preserving genuine connection signals
2Measurement precision
If multiple data sources are analyzed to determine connection strength, then the accuracy of connection representation improves, but the data processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the connection analysis process into distinct modules: data collection from multiple sources, individual source validation, cross-source correlation, and final connection strength calculation. Each module handles specific data types and validation rules, making the overall complex process more manageable and maintainable while improving accuracy
Solution Approach 2:
The system implements progressive analysis where connection strength is determined by analyzing available data sources to the extent necessary. Not all data sources are processed with equal depth for every connection evaluation - the system adjusts the level of analysis based on the apparent reliability and relevance of each source, reducing unnecessary computational overhead
3Adaptability or versatility
If connection data is limited to direct user input, then the system is easier to manipulate, but it fails to capture indirect warm connections and meaningful network links
Solution Approach 1:
The patent makes the connection analysis system multi-functional by integrating multiple data sources (social media interactions, financial transaction patterns, location proximity data) that can each independently indicate connection strength. This universal approach allows the system to detect warm connections through various channels, improving adaptability while the cross-validation across sources enhances reliability
Solution Approach 2:
The system implements feedback mechanisms where connection strength assessments are continuously refined based on new data from multiple sources. As more data becomes available, the connection authenticity score is updated and adjusted, allowing the system to progressively improve reliability while maintaining the ability to discover indirect connections through accumulating evidence
Data Source
AI summary
At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of accessing over a network a first user device, accessing over the network second electronic data characterizing a second entity and generated by a second user device, the second electronic data being accessible to the first user device, parsing the second electronic data, determining from the parsed second electronic data that the second entity has a relationship with a third entity, and notifying the first entity of the relationship between the second and third entities.