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Regular version of the site

International Laboratory for Applied Network Research

Publications
Book
The non-profit sector in the BRICS countries: current structure and development trends. Executive Summary

Klimov I., Chepeleva M., Gavrilov K. et al.

Civil BRICS Council, 2026.

Article
Intergroup links and aggregate effort in the social-norm model

Petrov I.

Journal of Economic Interaction and Coordination. 2026. P. 1-12.

Book chapter
Machine Learning Boosting via Statistical and Foundation Models in a Directed Acyclic Graph Architecture

Mikhailenko D., Nikoshin D., Matveev L. et al.

In bk.: Analysis of Images, Social Networks and Texts. AIST 2026. Lecture Notes in Computer Science. Vol. 16795. Springer, 2026. P. 473-485.

Working paper
Determinants of Сonsent to Personal Data Surveillance: Experimental Evidence from Russia

Sizov A., Rodionova M., Sedashov E. et al.

Political Science. PS. Высшая школа экономики, 2026. No. 1.

The International Laboratory for Applied Network Research NRU HSE develops and tests new methods for analyzing network data, applying them in empirical research in various scientific fields. The ANR-Lab members get represented by researchers from sociology, political science, economics, management, mathematics, statistics, computer linguistics, and computer science. We maintain cooperation with Russian and international scientists and research groups working in the field of network analysis.

In the autumn of 2017, our Lab launched the master's programme 'Data Analytics and Social Statistics' (previously – 'Applied Statistics with Network Analysis').

News

Separate news items cover the major conferences. In addition to those, laboratory researchers spoke at several other academic events in October: in St. Petersburg and Hungary, at a conference of the International Sociological Association, and at the Russian Economic Congress in Moscow.
November 01
Following the annual student vote, Irina Pavlova and Stanislav Pashkov have once again been named among the best teachers at HSE University.
November 01
On October 5, Daria Maltseva and co-authors presented a paper on the bibliometric mapping of ego-network research at a conference of the Sirius International Mathematics Center.
November 01
On October 24, ANR-Lab hosted a one-day intensive course, “Zero-Code Network Analysis Tools for Research Tasks.”
November 01
Irina Pavlova and Nataliya Matveeva presented their research at the 13th International Conference on Analysis of Images, Social Networks and Texts (AIST 2026), held in Astana with the support of Nazarbayev University.
October 25
In September, as part of the EEF 2026 business program, a presentation of the analytical digest "Robotics and Artificial Intelligence: International Practices and Opportunities for Russia, the Far East, and the Arctic" was held. The study was prepared by a joint team of experts from the Federal Autonomous Institution "Vostokgosplan" and the ANR-Lab.
September 21
The Master's program in Data Analytics and Applied Statistics received high praise on two levels: it was recognized in four academic leadership categories for the year 2025, and students singled out its courses as the most useful and innovative.
August 28
This summer, laboratory team participated in several international conferences on network analysis and control theory. Polina Ermolaeva presented in person at EUSN 2026 in Sweden, Lika Kapustina and Natalia Matveeva presented their joint research online at Sunbelt and EUSN, and Ilya Petrov presented a poster presentation remotely at the IFAC World Congress in South Korea.
August 26
On August 5, as part of the VI International Scientific Conference "Interaction. Integration. Inclusion: At the Crossroads of Knowledge and Values," a section entitled "Social Inclusion, Community Boundaries, and Knowledge Circulation: The Possibilities of Network Analysis" was held, led by laboratory staff members Irina Pavlova, Natalia Matveeva, and Anton Sizov.
August 15
On August 4, the Master's program "Data Analytics and Social Statistics" held a webinar competition, "Data Detective: Analysts Lead the Investigation." Participants experienced firsthand how stories—with errors, unusual events, and unexpected patterns—hide behind dry tables.
August 07
More news