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Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms. / Nepiyushchikh, Dmitry ; Blekanov, Ivan .

Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Springer Nature, 2022. стр. 793–800 (LNCOINSPRO).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Nepiyushchikh, D & Blekanov, I 2022, Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms. в Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. LNCOINSPRO, Springer Nature, стр. 793–800, Stability and Control Processes, Saint Petersburg, Российская Федерация, 5/10/20. https://doi.org/10.1007/978-3-030-87966-2_91

APA

Nepiyushchikh, D., & Blekanov, I. (2022). Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms. в Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov (стр. 793–800). (LNCOINSPRO). Springer Nature. https://doi.org/10.1007/978-3-030-87966-2_91

Vancouver

Nepiyushchikh D, Blekanov I. Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms. в Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Springer Nature. 2022. стр. 793–800. (LNCOINSPRO). https://doi.org/10.1007/978-3-030-87966-2_91

Author

Nepiyushchikh, Dmitry ; Blekanov, Ivan . / Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms. Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Springer Nature, 2022. стр. 793–800 (LNCOINSPRO).

BibTeX

@inproceedings{dab4081daca64b6098abfe0175162d50,
title = "Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms",
abstract = "This article discusses approaches to collecting data from Web 2.0 platforms such as social networks and messengers. The authors propose the implementation of a flexible architecture for a focused web crawler to collect data of users{\textquoteright} discussion in the social network Facebook and the Telegram messenger. The proposed crawler is based on interaction with a platform{\textquoteright}s API, get/post requests, and simulating actions in a browser. The authors set up an experiment comparing implementation of proposed data crawling approaches. The data on the COVID-19 virus was collected from Facebook social network and Telegram messenger using RUM Extractor for Facebook and large number open-source Telegram crawler. Developed focused crawler reached the speed of 15 participants per second and 12 posts per second without blocking account when processing a user discussion in Facebook. Telegram crawler showed the speed of 200 participants per second and 300 posts per second without blocking.",
author = "Dmitry Nepiyushchikh and Ivan Blekanov",
year = "2022",
doi = "10.1007/978-3-030-87966-2_91",
language = "English",
isbn = "978-3-030-87965-5",
series = "LNCOINSPRO",
publisher = "Springer Nature",
pages = "793–800",
booktitle = "Stability and Control Processes",
address = "Germany",
note = "Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov : Dedicated to the Memory of Professor Vladimir Zubov, SCP2020 ; Conference date: 05-10-2020 Through 09-10-2020",
url = "http://www.apmath.spbu.ru/scp2020/, http://www.apmath.spbu.ru/scp2020/ru/main/, http://www.apmath.spbu.ru/scp2020/eng/program/#schedule, https://link.springer.com/conference/scp",

}

RIS

TY - GEN

T1 - Data Crawling Approaches for User Discussion Analysis on Web 2.0 Platforms

AU - Nepiyushchikh, Dmitry

AU - Blekanov, Ivan

N1 - Conference code: 4

PY - 2022

Y1 - 2022

N2 - This article discusses approaches to collecting data from Web 2.0 platforms such as social networks and messengers. The authors propose the implementation of a flexible architecture for a focused web crawler to collect data of users’ discussion in the social network Facebook and the Telegram messenger. The proposed crawler is based on interaction with a platform’s API, get/post requests, and simulating actions in a browser. The authors set up an experiment comparing implementation of proposed data crawling approaches. The data on the COVID-19 virus was collected from Facebook social network and Telegram messenger using RUM Extractor for Facebook and large number open-source Telegram crawler. Developed focused crawler reached the speed of 15 participants per second and 12 posts per second without blocking account when processing a user discussion in Facebook. Telegram crawler showed the speed of 200 participants per second and 300 posts per second without blocking.

AB - This article discusses approaches to collecting data from Web 2.0 platforms such as social networks and messengers. The authors propose the implementation of a flexible architecture for a focused web crawler to collect data of users’ discussion in the social network Facebook and the Telegram messenger. The proposed crawler is based on interaction with a platform’s API, get/post requests, and simulating actions in a browser. The authors set up an experiment comparing implementation of proposed data crawling approaches. The data on the COVID-19 virus was collected from Facebook social network and Telegram messenger using RUM Extractor for Facebook and large number open-source Telegram crawler. Developed focused crawler reached the speed of 15 participants per second and 12 posts per second without blocking account when processing a user discussion in Facebook. Telegram crawler showed the speed of 200 participants per second and 300 posts per second without blocking.

UR - https://www.mendeley.com/catalogue/c32d06ad-c011-3df0-a5eb-cb85bf2872e9/

U2 - 10.1007/978-3-030-87966-2_91

DO - 10.1007/978-3-030-87966-2_91

M3 - Conference contribution

SN - 978-3-030-87965-5

T3 - LNCOINSPRO

SP - 793

EP - 800

BT - Stability and Control Processes

PB - Springer Nature

T2 - Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov

Y2 - 5 October 2020 through 9 October 2020

ER -

ID: 100561977