Salvatore Pirri
Biographic Data
| ID | 7854163 |
|---|---|
| NAME | Salvatore Pirri |
| GIVEN NAMES | Salvatore |
| FAMILY NAME | Pirri |
| SIGNATURE | PIRRI S |
| AFFILIATIONS | Scuola Superiore Sant'Anna |
| ORCID | 0000-0002-8126-9663 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
How Italy Tweeted about Covid-19
The COVID-19 pandemic required communities throughout the world to deal with unknown threats. Using Twitter data, this study aimed to detect reactions to the outbreak in Italy and to evaluate the relationship between measures derived from social media (SM) with both national epidemiological data and reports on the violations of the restrictions. The dynamics of time-series about tweets counts, emotions expressed, and themes discussed were evaluat…
Topic Modeling and User Network Analysis on Twitter during World Lupus Awareness Day
Twitter is increasingly used by individuals and organizations to broadcast their feelings and practices, providing access to samples of spontaneously expressed opinions on all sorts of themes. Social media offers an additional source of data to unlock information supporting new insights disclosures, particularly for public health purposes. Systemic lupus erythematosus (SLE) is a complex, systemic autoimmune disease that remains a major challenge …
No prominent works on this page.
Topic Modeling and User Network Analysis on Twitter during World Lupus Awareness Day
Twitter is increasingly used by individuals and organizations to broadcast their feelings and practices, providing access to samples of spontaneously expressed opinions on all sorts of themes. Social media offers an additional source of data to unlock information supporting new insights disclosures, particularly for public health purposes. Systemic lupus erythematosus (SLE) is a complex, systemic autoimmune disease that remains a major challenge …
How Italy Tweeted about Covid-19
The COVID-19 pandemic required communities throughout the world to deal with unknown threats. Using Twitter data, this study aimed to detect reactions to the outbreak in Italy and to evaluate the relationship between measures derived from social media (SM) with both national epidemiological data and reports on the violations of the restrictions. The dynamics of time-series about tweets counts, emotions expressed, and themes discussed were evaluat…
Computer Science (2 works) · Medicine (2 works) · Political science (2 works) · Psychology (2 works) · Social media (2 works) · Social Psychology (2 works) · Social Psychology (2 works) · Anger (1 work) · Anticipation (artificial intelligence (1 work) · Business (1 work)