Statistical analysis of network data with R
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back cent...
| Permalink: | http://skupnikatalog.nsk.hr/Record/fer.KOHA-OAI-FER:44377/TOC |
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| Glavni autor: | Kolaczyk, Eric D. (-) |
| Ostali autori: | Csárdi, Gábor (-) |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
New York:
Springer,
2014.
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| Nakladnička cjelina: |
Use R!
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| Predmet: |
Sadržaj:
- 1. Introduction
- 2. Manipulating network data
- 3. Visualizing network data
- 4. Descriptive analysis of network graph characteristics
- 5. Mathematical models for network graphs
- 6. Statistical models for network graphs
- 7. Network topology inference
- 8. Modeling and prediction for processes on network graphs
- 9. Analysis of network flow data
- 10. Dynamic networks.