Your browser doesn't support javascript.
Visualization of dataflows: A casestudy of COVID-19 rumors
31st International Conference on Computer Graphics and Vision, GraphiCon 2021 ; 3027:259-267, 2021.
Article in English | Scopus | ID: covidwho-1589844
ABSTRACT
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. © 2021 Copyright for this paper by its authors.
Keywords
Search on Google
Collection: Databases of international organizations Database: Scopus Language: English Journal: 31st International Conference on Computer Graphics and Vision, GraphiCon 2021 Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS

Search on Google
Collection: Databases of international organizations Database: Scopus Language: English Journal: 31st International Conference on Computer Graphics and Vision, GraphiCon 2021 Year: 2021 Document Type: Article