Publication:
Visualization of dataflows: A casestudy of COVID-19 rumors

Простая страница элемента
dc.contributor.authorUlizko, M.
dc.contributor.authorTretyakov, E.
dc.contributor.authorTukumbetova, R.
dc.contributor.authorArtamonov, A.
dc.contributor.authorEsaulov, M.
dc.contributor.authorУлизко, Михаил Сергеевич
dc.contributor.authorТукумбетова, Руфина Рашитовна
dc.contributor.authorАртамонов, Алексей Анатольевич
dc.contributor.authorЕсаулов, Михаил Николаевич
dc.date.accessioned2024-11-30T03:05:02Z
dc.date.available2024-11-30T03:05:02Z
dc.date.issued2021
dc.description.abstract© 2021 Copyright for this paper by its authors.One of the most significant and rapidly developing works in the field of data analysis is information flow management. Within the analysis targeted and stochastic dissemination patterns are studied. The solving of such problems is relevant due to the global growth in the amount of information and its availability for a wide range of users. The paper presents a study of dissemination of information messages in open networks on the example of COVID-19. The study was conducted with the use of visual analytics. Informational messages from the largest world and Russian information services, social networks and instant messengers were used as sources of information. Due to the large amount of information on the topic, the authors proposed a pattern of the wave-like dissemination of information on the example of topic clusters on the connection of COVID-19, hydroxychloroquine and 5G. The developed methods can be scaled up to analyze information events of various topics.
dc.format.extentС. 259-267
dc.identifier.citationVisualization of dataflows: A casestudy of COVID-19 rumors / Ulizko, M. [et al.] // CEUR Workshop Proceedings. - 2021. - 3027. - P. 259-267. - 10.20948/graphicon-2021-3027-259-267
dc.identifier.doi10.20948/graphicon-2021-3027-259-267
dc.identifier.urihttps://www.doi.org/10.20948/graphicon-2021-3027-259-267
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85121205677&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/25337
dc.relation.ispartofCEUR Workshop Proceedings
dc.titleVisualization of dataflows: A casestudy of COVID-19 rumors
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume3027
relation.isAuthorOfPublicatione06e9e8c-3746-453a-9fe3-ac5b124209e0
relation.isAuthorOfPublication31774543-36c4-4e2f-a27c-43bd24e7ee82
relation.isAuthorOfPublication7e42799b-c550-41b5-a4a9-2cc54f74516c
relation.isAuthorOfPublicationa8c5184d-c053-4d31-b62e-4d0ad87b7ff9
relation.isAuthorOfPublication.latestForDiscoverye06e9e8c-3746-453a-9fe3-ac5b124209e0
relation.isOrgUnitOfPublicationf5e5f016-32cf-42e0-98f7-5b4f96b1ea0c
relation.isOrgUnitOfPublication010157d0-1f75-46b2-ab5b-712e3424b4f5
relation.isOrgUnitOfPublicationd19559ab-04cd-486a-ae8e-f40ccd36a1a6
relation.isOrgUnitOfPublication.latestForDiscoveryf5e5f016-32cf-42e0-98f7-5b4f96b1ea0c
Файлы
Original bundle
Теперь показываю 1 - 1 из 1
Уменьшенное изображение
Name:
paper25.pdf
Size:
1.31 MB
Format:
Adobe Portable Document Format
Description:
Download
Коллекции
Публикации