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Statistical analysis of network data with R

por Kolaczyk, Eric D.

Autores adicionales: Csárdi, Gábor

Series: Use R! Publicado por : Springer (Nueva York (Estados Unidos)) Detalles físicos: xiii, 207 páginas ilustraciones y gráficos ISBN:9781493909827; 1493909827. ISSN:2197-5736

Tema(s): Análisis de sistemas -- Metodos estadísticos | R (Lenguaje de programación para computadores) | Análisis de datos | Informática

Año : 2014

Existencias ( 1 )
Notas de título ( 2 )

Tipo de ítem	Ubicación actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras	Reserva de ítems
Libro	Claustro 2do piso	Libro	R 003.0151 K811st (Navegar estantería)	Ej.1	Disponible		100148035

Total de reservas: 0

Incluye referencias bibliográficas e índices

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).--