A gradient-based methodology for optimizing time for influence diffusion in social networks
Bibliographic Data
| ID | 4636462 |
|---|---|
| Authors | Jyoti Sunil More (0000-0002-1273-439X, University of Mumbai, corresponding author), Chelpa Lingam (0000-0003-3796-5052, University of Mumbai) |
| Year | 2019 |
| Volume | 9 |
| Issue | 1 |
| Pages | 5 |
| Publication date | 2019-12-01 |
| 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/s13278-018-0548-4 |
| OpenAlex | W2906825487 |
| Language | EN |
| Citations received | 6 |
| References cited | 18 |
Distributed computing · Execution time · Mathematical optimization · Maximization · Social media · Viral marketing · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Social Media and Politics
Network Dynamic GCN Influence Maximization Algorithm With Leader Fake Labeling Mechanism
A numerical evaluation of the accuracy of influence maximization algorithms
Efficient influence spread estimation for influence maximization
A Survey on Social Media Influence Environment and Influencers Identification
The dynamics of polarized beliefs in networks governed by viral diffusion and media influence
Centrality-based epidemic control in complex social networks
| Citations per year | 1 |
|---|---|
| Citation span | 2020 - 2023 (4) |
| Highly cited | No |