Modeling the popularity of twitter hashtags with master equations
Bibliographic Data
| ID | 4658893 |
|---|---|
| Authors | Oscar Fontanelli (0000-0002-2381-7035, Centro de Investigaciones Interdisciplinarias en Ciencias y Humanidades), Demian Hernández (Universidad Nacional Autonoma de Mexico), Ricardo Mansilla (Centro de Investigaciones Interdisciplinarias en Ciencias y Humanidades) |
| Year | 2022 |
| Volume | 12 |
| Issue | 1 |
| Pages | 29-29 |
| Publication date | 2022-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-022-00861-4 |
| PMID | 35126767 |
| OpenAlex | W3009968565 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Discrete mathematics · Master equation · Physics · Popularity · Social media · World Wide Web · Complex Network Analysis Techniques · Computer Science · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematics · Opinion Dynamics and Social Influence · Theoretical Computer Science
Changes in sleep pattern, sense of time and digital media use during Covid‐19 lockdown in Italy
Double-slit photoelectron interference in strong-field ionization of the neon dimer
Competition among memes in a world with limited attention
Virality Prediction and Community Structure in Social Networks
Rtweet
Covid-19 Lockdown Restrictions and Online Media Consumption in Germany
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |