58 citations
- Moscow Institute of Physics and TechnologyRU6 papers
- Fraunhofer Institute for Open Communication SystemsDE2 papers
- Lomonosov Moscow State UniversityRU2 papers
- National Research University Higher School of EconomicsRU2 papers
- Russian Academy of SciencesRU2 papers
- 3rd Central Research Institute of the Russian Defence MinistryRU1 paper
- Academy of Federal Security Guard Service of Russian FederationRU1 paper
- Ericsson (Hungary)HU1 paper
- Ericsson (Sweden)SE1 paper
- European Telecommunications Standards InstituteFR1 paper
- Federal Protective ServiceRU1 paper
- Humboldt-Universität zu BerlinDE1 paper
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cs.SI2024★ 58 cited
Random Graph Modeling: A survey of the concepts
Mikhail Drobyshevskiy, Denis Turdakov
Random graph (RG) models play a central role in the complex networks analysis. They help to understand, control, and predict phenomena occurring, for instance, in social networks,…
cs.SI2024★ 2 cited
Collecting Influencers: A Comparative Study of Online Network Crawlers
Mikhail Drobyshevskiy, Denis Aivazov, Denis Turdakov +3
Online network crawling tasks require a lot of efforts for the researchers to collect the data. One of them is identification of important nodes, which has many applications starti…
cs.SI2024
Graph Neural Network for Crawling Target Nodes in Social Networks
Kirill Lukyanov, Mikhail Drobyshevskiy, Danil Shaikhelislamov +1
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 c…