Network Node Consolidation via Attribute Similarity Matching
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Solution Overview
Problem
Large networks with thousands or millions of nodes face inefficiencies due to the difficulty in understanding relationships between nodes, leading to increased processing power requirements and reduced effectiveness.
Innovation Solution
A system that consolidates nodes by identifying attribute similarities, generating network clusters, calculating confidence scores, and assigning global identifications to consolidate entities, thereby improving accuracy and reducing processing demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If nodes are treated as unique entities without consolidation, then each node can be processed independently, but processing power requirements increase and network effectiveness decreases
Solution Approach 1:
The patent merges duplicate or similar nodes into unified entity representations by consolidating attributes and relationships. Nodes representing the same real-world entity are combined into a single canonical representation, reducing the total number of nodes that require processing while maintaining complete network information and relationships.
2Productivity
If nodes are consolidated into clusters, then processing efficiency improves, but the complexity of identifying and managing clusters increases
Solution Approach 1:
The patent replaces manual or complex cluster identification mechanisms with automated attribute standardization and matching algorithms. By standardizing node attributes to common formats and using computational methods to identify similarities, the system automatically groups nodes into clusters without requiring complex manual analysis or intervention.
3Measurement precision
If attribute standardization is performed, then node matching accuracy improves, but data processing time increases
Solution Approach 1:
The patent performs attribute standardization as a preliminary action before node matching and clustering operations. By pre-processing and standardizing attributes in advance, the system prepares data in an optimized format that enables faster and more accurate matching operations to be performed subsequently, reducing overall processing time despite the initial standardization step.
Data Source
AI summary
A distributed file system may store a plurality of entity attributes. A node consolidating system may identify similarities between entity attributes for different entities. The node consolidating system may generate an entity graph which displays relationships and similarities between entities in a graphical user interface.