Communication Data Server Relationship Analysis
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Solution Overview
Problem
Social networking sites often have siloed networks for personal and business relationships, and users are left to manually build and manage these networks, lacking an efficient system for determining relationship information.
Innovation Solution
A system and method that analyze communication data, such as call and email logs, along with location data, to automatically determine relationship information between individuals, including relationship strength, length, nature, and directionality, using processing logic and memory accessible in a communication data server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually build and manage their own contact networks, then they have control over their social networks, but the process is time-consuming and inefficient
Solution Approach 1:
The system automatically analyzes communication data and generates relationship information without requiring user intervention. The processor autonomously categorizes contacts, determines relationship strengths, and organizes social networks based on communication patterns, eliminating the need for users to manually build and manage their contact networks while saving significant time
Solution Approach 2:
The patent replaces the manual mechanical process of building contact networks with an automated computational system. The processor analyzes communication data (emails, calls, messages) and automatically determines relationship information, substituting human effort with algorithmic processing to efficiently generate contact categorizations and relationship maps
2Adaptability or versatility
If social networking sites use siloed networks for personal and business relationships, then they can specialize in specific relationship types, but users cannot view comprehensive relationship information across different contexts
Solution Approach 1:
The system merges multiple communication data sources and relationship types into a unified analysis framework. The processor simultaneously evaluates personal, business, and other relationship contexts from diverse communication patterns, combining them into comprehensive relationship information that provides users with a holistic view across all relationship dimensions while maintaining the ability to view specific relationship types
Solution Approach 2:
The system creates a multi-functional relationship analysis platform that handles various relationship types (personal, business, professional, social) through a single unified system. The processor applies universal analysis methods to different communication data types, enabling the system to serve multiple relationship contexts simultaneously while providing comprehensive information that spans all relationship categories
Data Source
AI summary
A method includes classifying a relationship between a first group and each of one or more additional groups based on at least one of a number of communications during a time period and a frequency of the communications. The communications are between one or more members of the first group and one or more members of each of the one or more additional groups. The method includes generating social network data based on the relationship between the first group and each of the one or more additional groups.