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"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)."
"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).--"@en
"This text provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathematics."@en
"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{u2019}s book Statistical Analysis of Network Data (Springer, 2009)."@en
"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. It comprehensively covers use of R software in the analysis of both static and dynamic networks, and covers traditional and contemporary modeling and prediction methods including kernel, Nearest Neighbor, and Markov models. --"
"Covers the foundations common to the statistical analysis of network data across the disciplines. This book contains topics that include network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows."@en

genre

http://schema.org/genre

"Electronic books"@en

name

http://schema.org/name

"Statistical analysis of network data methods and models"
"Statistical Analysis of Network Data"@en
"Statistical analysis of network data with R"
"Statistical analysis of network data with R"@en
"Statistical Analysis of Network Data : Methods and Models"
"Statistical Analysis of Network Data witn R"
"Statistical analysis of network data Methods and models"
"Statistical analysis of network data : methods and models"@en
"Statistical analysis of network data : methods and models"
"Statistical Analysis of Network Data with R"
"Statistical analysis of network data"
"Statistical Analysis of Network Data Methods and Models"

workExample

http://schema.org/workExample