Large-scale community detection based on a new dissimilarity measure
Bibliographic Data
| ID | 4655079 |
|---|---|
| Authors | Khawla Asmi (0000-0001-6624-1016, Mohammed V University, corresponding author), Dounia Lotfi (0009-0002-7995-4036, Mohammed V University), Mohamed El Marraki (Mohammed V University) |
| Year | 2017 |
| Volume | 7 |
| Issue | 1 |
| Publication date | 2017-12-01 |
| 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/s13278-017-0436-3 |
| OpenAlex | W2610180185 |
| Language | EN |
| Citations received | 2 |
| References cited | 13 |
Complex network · Data mining · Inference · Information retrieval · Machine learning · Complex Network Analysis Techniques · Computer Science · Data Visualization and Analytics · Opinion Dynamics and Social Influence · Artificial Intelligence
Maps of random walks on complex networks reveal community structure
Benchmark graphs for testing community detection algorithms
Resolution limit in community detection
Computing Communities in Large Networks Using Random Walks
Finding community structure in very large networks
Community structure in social and biological networks
Fast unfolding of communities in large networks
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |