Social Choice Theory,
Data Science,
Network Science.
Subject:
Social Choice Theory, Data Science, Network Science
Main publications:
S. Shvydun, P. V. Mieghem, “System Identification for Temporal Networks”, IEEE Transactions on Network Science and Engineering, 2023
S. Shvydun, “Models of similarity in complex networks.”, PeerJ Computer Science, 2023
Aleskerov, F., Shvydun, S., & Meshcheryakova, N., New Centrality Measures in Networks: How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes, Chapman and Hall/CRC, 2021
Aleskerov F. T., Demin S. S., Richman M., Shvydun S., Trafalis T. B., Yakuba V. I., “Constructing an Efficient Machine Learning Model for Tornado Prediction”, International Journal of Information Technology and Decision Making, 2020
Aleskerov F. T., Gavrilenkova I., Shvydun S., Yakuba V. I., “Power Distribution in the Networks of Terrorist Groups: 2001–2018”, Group Decision and Negotiation, 29:3 (2020), 399-424
N. G. Meshcheryakova, S. V. Shvydun, “A comparative analysis of centrality measures in complex networks”, Avtomat. i Telemekh., 2024, no. 8, 36–53; Autom. Remote Control, 85:8 (2024), 685–695
