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.
People, Organization, Institution, Product, Account, and more
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.
"Gartner selected Cyram as a representative vendor in the social network analysis field."
https://www.gartner.com/en/documents/3382717, 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.
Major field of application
NetMiner can be used in various research fields and application areas that require network data analysis.
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