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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
|
| Edición: | 1st ed. 2014. |
| Colección: | Use R!,
|
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-1-4939-0983-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220118194158.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 140522s2014 xxu| s |||| 0|eng d | ||
| 020 | |a 9781493909834 |9 978-1-4939-0983-4 | ||
| 024 | 7 | |a 10.1007/978-1-4939-0983-4 |2 doi | |
| 050 | 4 | |a QA276.4-.45 | |
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| 100 | 1 | |a Kolaczyk, Eric D. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Statistical Analysis of Network Data with R |h [electronic resource] / |c by Eric D. Kolaczyk, Gábor Csárdi. |
| 250 | |a 1st ed. 2014. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2014. | |
| 300 | |a XIII, 207 p. 55 illus., 53 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Use R!, |x 2197-5744 | |
| 520 | |a 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 centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk's book Statistical Analysis of Network Data (Springer, 2009). | ||
| 650 | 0 | |a Mathematical statistics-Data processing. | |
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a System theory. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 1 | 4 | |a Statistics and Computing. |
| 650 | 2 | 4 | |a Statistical Theory and Methods. |
| 650 | 2 | 4 | |a Complex Systems. |
| 650 | 2 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Computational and Systems Biology. |
| 700 | 1 | |a Csárdi, Gábor. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781493909841 |
| 776 | 0 | 8 | |i Printed edition: |z 9781493909827 |
| 830 | 0 | |a Use R!, |x 2197-5744 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4939-0983-4 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
| 912 | |a ZDB-2-SXMS | ||
| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||