What is Network Analytics ?
Model the relationship between individuals and groups using nodes and links, and quantitatively analyze its structure, diffusion, and evolution process.
Unlike existing statistical research methods that focus on the properties of the entity itself, it focuses on the interrelationships between entities.
Applied in various fields such as chemistry, biology, physics, information engineering, sociology, and humanities
Construction case
S Insurance Company
“Moral Risk Analysis (IFDS) Integrated Development Project”
Provides data exploration and visualization functions that can detect and analyze abnormal signs and suspect relationships as an effective measure to respond to the need for scientific investigation work due to the intelligence and organization of insurance fraud crimes.
Relationship Analysis Promotion Procedure
Initial data loading for each schema
Periodic operation data loading
Scenario-based Cypher writing Bloom Perspective writing Distribution and permissions by user group
Anomaly pattern detection and analysis In-depth analysis of individual nodes in visualized data
• Anomaly pattern detection scenario
• Suspect network analysis scenario
Node, relationship, and attribute queries
• Neo4j DB Monitoring Scenario
• Change Requirements Definition
• Analysis scenario-based data analysis
• Define target nodes and relationships
• DB model verification and refactoring
In-depth analysis of individual consultants for abnormal symptoms, network analysis of confirmed suspect groups, search by node/relationship properties
Analysis
monitoring
Suspect Network Deep Dive
Abnormal Symptom Pattern Detection Analysis
Analysis Query
Create/Distribute
Graph DB
load
Data collection
and tablets
Data analysis and
DB modeling
Analysis scenario
Written
Implementation of relationships between suspects
(organizational information)
