Link prediction using betweenness centrality and graph neural networks
Bibliographic Data
| ID | 4695819 |
|---|---|
| Authors | Jibouni Ayoub (0000-0001-9886-4576, Mohammed V University, corresponding author), Dounia Lotfi (0009-0002-7995-4036, Mohammed V University), Ahmed Hammouch (0009-0005-8691-6662, Mohammed V University) |
| Year | 2022 |
| Volume | 13 |
| Issue | 1 |
| Publication date | 2022-12-10 |
| 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/s13278-022-00999-1 |
| OpenAlex | W4312063941 |
| Language | EN |
| Citations received | 1 |
| References cited | 28 |
Artificial neural network · Betweenness centrality · Centrality · Data mining · Graph · Machine learning · Social media · Social network analysis · Advanced Graph Neural Networks · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Artificial Intelligence · Theoretical Computer Science
Predicting missing links via local information
The link‐prediction problem for social networks
Evolution of the social network of scientific collaborations
Clustering and preferential attachment in growing networks
The Network Data Repository with Interactive Graph Analytics and Visualization
Re-epithelialization and immune cell behaviour in an ex vivo human skin model
A New Status Index Derived from Sociometric Analysis
Friends and neighbors on the Web
A Set of Measures of Centrality Based on Betweenness
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |