Social Rank Determination via Relationship Chain Analysis
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Solution Overview
Problem
Existing methodologies for determining user portraits are limited by data coverage, resulting in incomplete user profiles due to missing information.
Innovation Solution
A method and device for determining a social rank of a node in a social network by analyzing the connection structure of relationship chains between nodes, allowing for a more comprehensive user portrait based on social relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing methodologies are used to determine user portraits, then the process is simple, but data coverage is limited and user profiles are incomplete
Solution Approach 1:
The patent transitions from traditional single-dimension user portrait methods to multi-dimensional social network analysis. By incorporating relationship chains and connection structures as additional dimensions, the system achieves comprehensive data coverage while maintaining systematic processing through graph-based methodologies.
Solution Approach 2:
The connection structure determination method serves multiple functions simultaneously: it maps social relationships, identifies influential nodes, calculates social ranks, and generates user portraits. This multi-functional approach maximizes information extraction from social network data without proportionally increasing system complexity.
2Measurement precision
If comprehensive user information is collected to create accurate user portraits, then user portrait accuracy improves, but data collection complexity and resource requirements increase
Solution Approach 1:
The system enables nodes to self-evaluate their social ranks through automated connection structure analysis. Each node's social rank is determined by its inherent connection patterns within the network, eliminating the need for manual data collection and external assessment, thereby achieving high accuracy with reduced operational complexity.
Solution Approach 2:
The connection structure acts as an intermediary that translates complex social relationships into quantifiable social ranks. This intermediary layer simplifies the process by converting multifaceted user information into a standardized metric system, enabling accurate user portraits without directly handling raw complex data.
Data Source
AI summary
A method is provided for determining a social rank of a node in a social network, the social network including a plurality of nodes connected by relationship chains. The method includes determining a user corresponding to at least one of the plurality of nodes in the social network, determining a connection structure of the relationship chains between the plurality of nodes, and determining, according to the connection structure of the relationship chains between the plurality of nodes, a social rank of the user corresponding to the at least one of the plurality of nodes.