Three-step Algorithms for Detection of High Degree Nodes in Online Social Networks

Shaikhelislamov D.; Drobyshevskiy M.; D. Y. Turdakov; Yatskov A.; Varlamov M.; Aivazov D.

doi:10.1109/IVMEM51402.2020.00014

АБВ
АБВ
АБВ

Обычная версия сайта

Priority areas

by year

Subject

News

July 9, 2026

HSE Economists Use Search Queries to Forecast Birth Rates

Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.

July 8, 2026

HSE Researchers Discover Who Eats Out in Russia-And Why

Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.

July 8, 2026

HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition

HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications

?

Three-step Algorithms for Detection of High Degree Nodes in Online Social Networks

Ch. 9. P. 43–48.

Shaikhelislamov D., Drobyshevskiy M., Turdakov D. Y., Yatskov A., Varlamov M., Aivazov D.

Language: English

DOI

Keywords: Network crawling network sampling node influence

In book

Proceedings of the 2020 Ivannikov Memorial Workshop

Los Alamitos: IEEE Communications Society, 2020.

Graph Neural Network for Crawling Target Nodes in Social Networks

Danil Shaikhelislamov, Denis Turdakov, , in: 2022 Ivannikov Ispras Open Conference (ISPRAS).: IEEE, 2022. P. 31–36.

Social networks crawling is in the focus of active research the last years. One of the challenging task is to collect target nodes in an initially unknown graph given a budget of crawling steps. Predicting a node property based on its partially known neighbourhood is at the heart of a successful crawler. In this paper ...

Added: February 3, 2025

Collecting Influencers: A Comparative Study of Online Network Crawlers

Drobyshevskiy M., Aivazov D., Turdakov D. Y. et al., , in: Proceeding 2019 Ivannikov Ispras Open Conference (ISPRAS).: IEEE Computer Society, 2019. P. 42–48.

Added: October 12, 2021