Network science and analytics
Network science is an interdisciplinary field of knowledge, combining relational theories and methods developed in classical disciplines: mathematics, economics, sociology, management, political science, linguistics, and many others. A particular subject of network science is not a single object or a group of objects (bodies, individuals, countries), but the relationship between that objects. Network science allows us to overcome a simplified approach to the study of reality and model complex events without reducing their complexity, relying on advanced statistical analysis methods.
The focus of network science on modeling reality without oversimplification allows it to be fundamental and practice-oriented in the same time. Today, decision making in the state, corporation, and family requires considering many variables, factors, and conditions; in other words, advanced modeling, and applied analytics. We use well-known and develop new advanced statistical analysis methods for advanced modeling of the decision-making process.
Our projects
Our team
Valentina Kuskova
Head of the direction "Network science and analytics"
Dmitry Zaytsev
Scientific consultant
Anna Sokol
Research Assistant
Rustam Kamalov
Research Assistant
Ekaterina Shabanova
Research Assistant
Ksenia Danilova
Research Assistant
Alina Arslanova
Research Assistant
Ekaterina Melianova
Research Assistant
Artem Volgin
Research Assistant
Sofia Tkachenko
Research Assistant
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