Structure in Complex Networks
In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of d...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| Saila: | Lecture Notes in Physics
766 |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Structure in Complex Networks, Texte imprimé, 9783642099656 • Structure in Complex Networks, Texte imprimé, 9783540879282 • Structure in complex networks, Berlin, Springer, 2009, 1 vol. (XIII-151 p.), Lecture notes in physics, 978-3-540-87832-2 |
Aurkibidea:
- to Complex Networks
- Standard Approaches to Network Structure: Block Modeling
- A First Principles Approach to Block Structure Detection
- Diagonal Block Models as Cohesive Groups
- Modularity of Dense Random Graphs
- Modularity of Sparse Random Graphs
- Applications
- Conclusion and Outlook.