"Statistical analysis of network data with R" - Information and Links:

Statistical analysis of network data with R - Info and Reading Options

"Statistical analysis of network data with R" was published by Springer in 2014 - New York, it has 207 pages and the language of the book is English.


“Statistical analysis of network data with R” Metadata:

  • Title: ➤  Statistical analysis of network data with R
  • Authors:
  • Language: English
  • Number of Pages: 207
  • Publisher: Springer
  • Publish Date:
  • Publish Location: New York

“Statistical analysis of network data with R” Subjects and Themes:

Edition Specifications:

  • Pagination: xiii, 207 pages

Edition Identifiers:

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"Statistical analysis of network data with R" Table Of Contents:

  • 1- 1. Introduction
  • 2- 2. Manipulating network data
  • 3- 3. Visualizing network data
  • 4- 4. Descriptive analysis of network graph characteristics
  • 5- 5. Mathematical models for network graphs
  • 6- 6. Statistical models for network graphs
  • 7- 7. Network topology inference
  • 8- 8. Modeling and prediction for processes on network graphs
  • 9- 9. Analysis of network flow data
  • 10- 10. Dynamic networks.

"Statistical analysis of network data with R" Description:

The Open Library:

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).--

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