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Collecting Influencers: A Comparative Study of Online Network Crawlers

P. 42–48.
Drobyshevskiy M., Aivazov D., Turdakov D. Y., Yatskov A., Varlamov M., Danil S. Shaikhelislamov
Language: English
DOI
Text on another site
Keywords: Network crawlingnetwork samplingnode influence

In book

Proceeding 2019 Ivannikov Ispras Open Conference (ISPRAS)
IEEE Computer Society, 2019.
Similar publications
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
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Shaikhelislamov D., Drobyshevskiy M., Turdakov D. Y. et al., , in: Proceedings of the 2020 Ivannikov Memorial Workshop.: Los Alamitos: IEEE Communications Society, 2020. Ch. 9 P. 43–48.
Added: October 12, 2021
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