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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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