Coronavirus Pandemic Analysis Through Tripartite Graph Clustering in Online Social Networks
The COVID-19 pandemic has hit the world hard. The reaction to the pandemic related issues has been pouring into social platforms, such as Twitter. Many public officials and governments use Twitter to make policy announcements. People keep close track of the related information and express their conc...
Saved in:
Main Authors: | Xueting Liao, Danyang Zheng, Xiaojun Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2021-12-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2021.9020010 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Keeping Up with Power/Corruption in a Pandemic: A Study of an Investigative Journalist’s Twitter Handle
by: Omotayo Omitola
Published: (2021-12-01) -
Analysis effectiveness of online learning during the COVID-19 pandemic
by: Yudis Ghifari, et al.
Published: (2022-12-01) -
Tracing COVID-19 cluster during offline learning in the new era of pandemic
by: Maria Mardalena Martini Kaisar, et al.
Published: (2024-02-01) -
Islamic Legal Perspective on the Implementation of Online Marriage Contracts during the Covid-19 Pandemic
by: Imam Sujono, et al.
Published: (2024-05-01) -
Online Distance Learning During Covid-19 Pandemic: An Empirical Analysis Over the Students’ Opinions
by: Gökçe Cerev, et al.
Published: (2021-12-01)