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Link Prediction in Social Networks: Role of Power Law Distribution - SpringerBriefs in Computer Science Srinivas Virinchi 1st ed. 2016 edition
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Link Prediction in Social Networks: Role of Power Law Distribution - SpringerBriefs in Computer Science
Srinivas Virinchi
In the context of link prediction indense networks, the text proposes similarity measures based on Markov inequalitydegree thresholding (MIDTs), which only consider nodes whose degree is above a thresholdfor a possible link.
67 pages, 5 colour illustrations, 11 black & white tables, biography
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 29 de enero de 2016 |
| ISBN13 | 9783319289212 |
| Editores | Springer International Publishing AG |
| Páginas | 67 |
| Dimensiones | 155 × 235 × 4 mm · 122 g |
| Lengua | Alemán |
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