Natalia Meshcheryakova
- Lecturer, Doctoral Student:Faculty of Economic Sciences / Department of Mathematics
- Research Fellow:International Centre of Decision Choice and Analysis
- Natalia Meshcheryakova has been at HSE University since 2014.
Education
- 2018
Master's in Mathematics and Information Science
HSE University, Faculty of Computer Science - 2016
Bachelor's in Mathematics and Information Science
HSE University, Faculty of Computer Science
Continuing education / Professional retraining / Internships / Study abroad experience
- NTME Lake Como School. Complex Networks: Theory, Methods and Applications, Como, Italy, 13 - 17 May 2019;
- MSCx networks: Mediterranean School of Complex Networks, Salina, Italy, 1 - 8 September 2018;
- COST IC1205 Summer School on Fair Division, Grenoble, France, 13 - 17 July 2015.
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers under 30" (2019-2020)
Category "New Researchers" (2017-2018)
Postgraduate Studies
4th year of study
Approved topic of thesis: Long-range interaction centralities in network structures
Academic Supervisor: Алескеров Фуад Таги оглы
Courses (2020/2021)
- Calculus (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1-4 module)Rus
Instrumental Methods for Digital Economics -1 (Bachelor’s programme; Faculty of Economic Sciences; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 1 module)Rus
Instrumental methods for digital economics - 2 (Bachelor’s programme; Faculty of Economic Sciences; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 3 module)Rus
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Past Courses
Courses (2019/2020)
- Calculus (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1-4 module)Rus
- Game Modules of Decision Making (Bachelor’s programme; Graduate School of Business; 2 year, 4 module)Rus
Instrumental methods for digital economics (Bachelor’s programme; Faculty of Economic Sciences; field of study "38.03.01. Экономика", field of study "38.03.01. Экономика"; 2 year, 1, 2 module)Rus
- Linear Algebra (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
Conferences
- 2023The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2023) (Kusadasi). Presentation: Perturbation Analysis of Centrality Measures
- The Network Architectures and Services Group Meeting (Delft). Presentation: Understanding Centrality Measures
- The 12th International Conference on Complex Networks and their Applications (Menton). Presentation: Robustness of Centrality Measures under Incomplete Data
- 2020
18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Лиссабон). Presentation: Belief Functions for the Importance Assessment in Multiplex Networks
- The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020) (The Hague). Presentation: Network Analysis of Bilateral Trade Data Under Asymmetry
- 2019XX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Анализ влияния стран в контексте продовольственной безопасности
- 2018The 8th International Conference on Network Analysis (Москва). Presentation: Indirect Influence Assessment in the Context of Retail Food Network
- International Workshop "State Capacity, Power and Influence in World Politics: Concepts and Measurements" (Москва). Presentation: Power of Countries in the Context of Food Security
- 29th European Conference on Operational Research EURO2018 (Valencia). Presentation: Mathematical Models of Food Security
- Общемосковский семинар "Экспертные оценки и анализ данных" (Москва). Presentation: Сетевой подход к анализу межстрановой торговли продовольствием
The 7th International Conference on Complex Networks and Their Applications (Cambridge). Presentation: The Impact of Indirect Connections: The Case of Food Security Problem
- 201721st Conference of the International Federation of Operational Research Societies (IFORS 2017) (Quebec). Presentation: Network analysis of food security
- Десятая международная конференция «Управление развитием крупномасштабных систем» (MLSD’2017) (Москва). Presentation: Сетевой Анализ Продовольственной Безопасности
- Russian-French Workshop in Big Data and Applications 2017 (Москва). Presentation: Simplification of Large Networks
- 201628th European Conference on Operational Research EURO2016 (Poznan). Presentation: Influence estimation in networks by long-range interactions
- 2015Meeting of COST Action IC1205 on Computational Social Choice (Istanbul). Presentation: Migration Network Analysis
Publications21
- Chapter Meshcheryakova N., Shvydun S. Robustness of Centrality Measures Under Incomplete Data, in: Studies in Computational Intelligence Vol. 1143. Springer, 2024. P. 321-331. doi
- Chapter Meshcheryakova N., Shvydun S. Perturbation Analysis of Centrality Measures, in: 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2023. doi P. 407-414. doi
- Book Aleskerov F. T., 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. Boca Raton: CRC Press, 2022. doi
- Chapter Lepskiy A., Meshcheryakova N. Belief Functions for the Importance Assessment in Multiplex Networks, in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020 Vol. 1238. Part 2. Cham : Springer, 2020. doi P. 283-296. doi
- Chapter Aleskerov F. T., Meshcheryakova N., Shvydun S. Indirect Influence Assessment in the Context of Retail Food Network, in: Network Algorithms, Data Mining, and Applications. Springer Proceedings in Mathematics & Statistics / Ed. by I. S. Bychkov, V. A. Kalyagin, P. M. Pardalos, O. Prokopyev. Vol. 315. Springer, 2020. doi P. 143-160. doi
- Chapter Meshcheryakova N. Network Analysis of Bilateral Trade Data under Asymmetry, in: 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020. doi P. 379-383. doi
- Chapter Natalia Meshcheryakova. Similarity Analysis in Multilayer Temporal Food Trade Network, in: Complex Networks XI. Proceedings of the 11th Conference on Complex Networks CompleNet 2020. Springer, 2020. P. 322-333. doi
- Chapter Natalia Meshcheryakova. The Impact of Indirect Connections: The Case of Food Security Problem, in: Studies in Computational Intelligence Vol. 813: Complex Networks and Their Applications VII. Part 2. Springer, 2019. doi Ch. 7. P. 80-90. doi
- Chapter Meshcheryakova N., Shvydun S. Power in Network Structures Based on Simulations, in: Studies in Computational Intelligence Vol. 689: Complex Networks & Their Applications VI. Springer, 2018. doi P. 1028-1038. doi
- Chapter Makarov I., Bulanov O., Olga Gerasimova, Natalia Meshcheryakova, Karpov I., Zhukov L. E. Scientific Matchmaker: Collaborator Recommender System, in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers / Ed. by W. M. van der Aalst, D. I. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchenko, S. Wasserman. Vol. 10716. Cham : Springer, 2018. doi P. 404-410. doi
- Chapter Aleskerov F. T., Meshcheryakova N., Сергеева З. В., Shvydun S. Centrality Measures And Clustering Analysis in a Retail Food Network, in: 2017 IEEE 11th International Conference on Application of Information and Communication Technologies / Ed. by Д. А. Новиков. Vol. 1. M. : Institute of Electrical and Electoronics Engineers, 2017. P. 48-52.
- Chapter Aleskerov F. T., Meshcheryakova N., Rezyapova A., Shvydun S. Network Analysis of International Migration, in: Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics / Ed. by V. A. Kalyagin, A. I. Nikolaev, P. M. Pardalos, O. Prokopyev. Vol. 197. Springer, 2017. doi P. 177-185. doi
- Chapter Aleskerov F. T., Meshcheryakova N., Shvydun S. Power in Network Structures, in: Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics / Ed. by V. A. Kalyagin, A. I. Nikolaev, P. M. Pardalos, O. Prokopyev. Vol. 197. Springer, 2017. doi P. 79-85. doi
- Chapter Алескеров Ф. Т., Мещерякова Н. Г., Швыдун С. В., Сергеева З. В. Сетевой анализ продовольственной безопасности // В кн.: Управление развитием крупномасштабных систем (MLSD'2017): Материалы Десятой международной конференции, 2 окт. - 4 окт. 2017 г. / Под общ. ред.: С. Н. Васильев, А. Цвиркун. Т. 2: Пленарные доклады, секции 5 - 13. Институт проблем управления им. В.А. Трапезникова РАН, 2017. С. 303-306.
- Chapter Aleskerov F. T., Meshcheryakova N., Shvydun S., Yakuba V. I. Centrality Measures in Large and Sparse Networks, in: 6th International Conference on Computers Communications and Control (ICCCC) 2016. Oradea : Agora University, 2016. P. 118-123. doi
- Preprint Aleskerov F. T., Meshcheryakova N., Shvydun S. Centrality Measures in Networks based on Nodes Attributes, Long-Range Interactions and Group Influence / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2016. No. WP7/2016/04.
- Preprint Aleskerov F. T., Meshcheryakova N., Nikitina A., Shvydun S. Key Borrower Detection by Long-Range Interactions / National Research University Higher School of Economics. Series WP BRP "Basic research program". 2016. No. 56.
- Preprint Aleskerov F. T., Meshcheryakova N., Rezyapova A., Shvydun S. Network analysis of international migration / Издательский дом ВШЭ. Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2016. No. WP7/2016/06.
- Article Алескеров Ф. Т., Мещерякова Н. Г., Резяпова А. Н., Швыдун С. В. Анализ влияния стран в сети международной миграции // Политическая наука. 2016. № 4. С. 137-158.
- Chapter Алескеров Ф. Т., Мещерякова Н. Г., Швыдун С. В. Влияние в сетевых структурах с использованием индексов дальних взаимодействий // В кн.: Управление большими системами (УБС’2016). М. : ИПУ РАН, 2016. С. 13-22.
- Article Алескеров Ф. Т., Курапова М. С., Мещерякова Н. Г., Миронюк М. Г., Швыдун С. В. Сетевой подход в изучении межгосударственных конфликтов // Политическая наука. 2016. № 4. С. 111-136.
Employment history
2014 – till now – International Centre of Decision Choice and Analysis, HSE University, research fellow (2021 - till now), research assistant (2014 - 2020).
2016 – till now – the Department of Mathematics, Faculty of Economics, HSE University, lecturer.
2015 – till now – V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, lab. №25, research fellow (2020 - 2022), junior research fellow (2018 - 2020), mathematician (2015 - 2018).
Lecture by Natalia Meshcheryakova on "Belief Functions for the Importance Assessment in Multiplex Networks"
On Sunday, June 14 the scientific seminar of the International Centre of Decision Choice and Analysis was held. Natalia Meshcheryakova gave a lecture on "Belief Functions for the Importance Assessment in Multiplex Networks"
Autumn School "The modern methods and models of the individual and collective choice and decision-making theory with application to network data analysis, aggregation problems, influence indices" was held at DeCAn lab
On November 12-15, the Autumn school on modern methods and models of the individual and collective choice and decision-making theory with application to network data analysis, aggregation problems, influence indices was opened. The event is organized by the International Laboratory of Decision Choice and Analysis (DeCAn lab). Among the invited lecturers there are outstanding academics and researchers: Hans Peters (Maastricht University, Netherlands), Kanak Patel (Cambridge University, UK), Laszlo Koczy (Centre for Economic and Regional Studies, Hungary), Anna Khmelnitskaya (St Petersburg University, Russia), Peter Emerson (de Borda Institute, UK).
Autumn school "Current trends in decision-making analysis". Day 1
On November 7, the Autumn school on Current Trends in Decision-making Analysis opened. The event is organized by the International Laboratory of Decision Choice and Analysis. Among the invited lecturers there are outstanding academics and researchers: Itzhak Gilboa, Theocharis Grigoriadis, Michel Grabisch, Gabrielle Demange, Saptarshi Mukherjee, Stefan Napel, Agnieszka Rusinowska, William Thomson, and Katarína Cechlárová.
DeCAn faculty visited University of Tromsø
Dean of DeCAn laboratory Professor F. Aleskerov with our faculty have visited The University of Tromsø - The Arctic University of Norway from September 10 to September 17 for a joint work with UiT on the project "High North Economics: Learning how economists work and think in Russia and Norway using theoretical models and laboratory experiments".
On Monday, January 25 a Scientific Seminar of the International Laboratory of Decision Choice and Analysis was held
Speakers: L. Egorova and N. Meshcheryakova (DeCAn lab)
Title: "Summer School on Fair Division"