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

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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

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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