Name
Abstract | ||
|---|---|---|
Social network information is a measure of the number of infections. Understanding the effect of social network information on disease spread can help improve epidemic forecasting and uncover preventive measures. Many driving factors for the transmission mechanism of infectious diseases remain unclear. Some experts believe that redundant information on social media may increase people’s panic to e... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSS.2020.3046712 | IEEE Transactions on Computational Social Systems |
Keywords | DocType | Volume |
Social networking (online),COVID-19,Information entropy,Mathematical model,Entropy,Biological system modeling,Statistics | Journal | 8 |
Issue | ISSN | Citations |
4 | 2329-924X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qi Nie | 1 | 0 | 0.34 |
| Yifeng Liu | 2 | 0 | 3.72 |
| Dong Zhang | 3 | 0 | 0.34 |
| Hao Jiang | 4 | 54 | 13.19 |