Adaptive multi-feature budgeted profit maximization in social networks
Bibliographic Data
| ID | 16859215 |
|---|---|
| Authors | Tiantian Chen (0000-0003-3513-6170, The University of Texas at Dallas, corresponding author), Jianxiong Guo (0000-0002-0994-3297, Beijing Normal-Hong Kong Baptist University), Weili Wu (0000-0001-8747-6340, The University of Texas at Dallas) |
| Year | 2022 |
| Volume | 12 |
| Issue | 1 |
| 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/s13278-022-00989-3 |
| OpenAlex | W4287764699 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
Economics · Marginal profit · Mathematical optimization · Maximization · Microeconomics · Oracle · Profit maximization · Social media · Viral marketing · Advanced MIMO Systems Optimization · Complex Network Analysis Techniques · Computer Science · Mathematics · Mobile Crowdsensing and Crowdsourcing
Efficient influence maximization in social networks
The Network Data Repository with Interactive Graph Analytics and Visualization
Maximizing the spread of influence through a social network
Scalable influence maximization for prevalent viral marketing in large-scale social networks
A k-Hop Collaborate Game Model
Randomized Algorithms
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |