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Social Network Analysis

The data in this world consists of "node data" and "link data".
However, data analysis has been focused on “node data.”
Analyzing network data at the core of link data provides new levels of insight.
The proper analysis of “link data” requires the introduction of social network analysis methodology.

Node Data

People, Organization, Institution, Product, Account, and more

Link Data

Relationships between people, organizations, people to product, accounts and more

Social network analysis is a research methodology developed in mathematical sociology in the 1930s that enables network insight through the analysis of the link structure, central structure, cohesion structure, and role structure inherent in the relationship (=link) between objects.

link structure
Cohesive Structure
Central Structure
2-mode Analysis
Role Structure

"Gartner selected Cyram as a representative vendor in the social network analysis field.", 19 July 2016 , Gartner


NetMiner is social network analysis software for data scientists in universities, research institutes and companies.
It can be used universally in all fields that can be composed of node (object) and link (relational) data, and provides a convenient environment by flexibly integrating data transformation, network analysis, network visualization, and machine learning. You can also take advantage of Python scripting capabilities to automate repetitive analysis or customize them using external libraries.

Product Features

Convenient Data Processing

Integrated data structure

Easy data input and modification

Large capacity data processing

Exploratory Analysis Structure

Wide-range network index and analysis model

Close combination of analysis and visualization

Various visualization option

What-if analysis

Cyclical utilization of analysis result

User Friendly Work Environment

Intuitive screen composition

Tree structure for systematic work management

Standardized analysis option configuration

Programming Features


Calling NetMiner script through an external script language


Major field of application

NetMiner can be used in various research fields and application areas that require network data analysis.

Organization Network Analysis

Analyze and visualize formal and informal relationships among human resources within an organization, including members, departments, and business competencies

Knowledge Network Analysis

Analyze and visualize relationships between components of knowledge such as researchers, journals, keywords, and more

Crime Network Analysis

Analyze and visualize exposed or hidden relationships between suspects

Customer Network Analysis

Analyze the network of relationships between customers, customer's purchase and activity history to utilize in various marketing activities

Online Network Analysis

Analyze and visualize public opinion or networks formed on online social media such as Twitter

Major Customers

61 Countries, 771 Schools
35 Countries, 147 institutions
19 Countries, 142 companies
  • Harvard University
  • Standford University
  • Yale University
  • Massachusetts Institute of Technology
  • Columbia University
  • Michigan University
  • Duke University
  • Tokyo University
  • University of Wisconsin-Madison
  • Seoul National University
  • Yonsei University
  • Korea University
  • Pohang University of Science and Technology
  • Sungkyunkwan University
  • UN (Swiss)
  • US Census Bureau
  • US Army
  • Federal Reserve Bank of New York
  • Kaiser Permanente Colorado
  • Department of Defense
  • Australia
  • Save the Children
  • World Bank
  • National Mental Health Center
  • Ministry of Security and Public Administration
  • Korea Research Institute for Human Settlements
  • National Research Foundation of Korea
  • Financial Supervisory Service
  • The Korea Transport Institute
  • France Telecom
  • NTT
  • Cegedim
  • Pricewaterhouse(PwC)
  • BP Global
  • Procter & Gamble(P&G)
  • Hill & Knowlton
  • Pfizer
  • Unilever
  • Verizon
  • Fidelity
  • KT
  • Samsung Medical Center
  • Fursys
  • Samsung Economic Research Institute
  • Samsung Electronics

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