Statistical Analysis of Network Data with R Book [PDF] Download

Download the fantastic book titled Statistical Analysis of Network Data with R written by Eric D. Kolaczyk, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Statistical Analysis of Network Data with R", which was released on 02 June 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Statistical Analysis of Network Data with R by Eric D. Kolaczyk PDF

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and 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. The new edition of this book includes an overhaul to recent changes in igraph. The material in this book is organized to flow from descriptive statistical methods to topics centered on modeling and inference with networks, with the latter separated into two sub-areas, corresponding first to the modeling and inference of networks themselves, and then, to processes on networks. The book begins by covering tools for the manipulation of network data. Next, it addresses visualization and characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.


Detail About Statistical Analysis of Network Data with R PDF

  • Author : Eric D. Kolaczyk
  • Publisher : Springer Nature
  • Genre : Computers
  • Total Pages : 235 pages
  • ISBN : 3030441296
  • PDF File Size : 26,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R
  • Publisher : Springer Nature
  • File Size : 55,9 Mb
  • Release Date : 02 June 2020
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The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as

Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R
  • Publisher : Springer
  • File Size : 40,7 Mb
  • Release Date : 22 May 2014
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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

Statistical Analysis of Network Data

Statistical Analysis of Network Data
  • Publisher : Springer Science & Business Media
  • File Size : 25,8 Mb
  • Release Date : 20 April 2009
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In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly

Probabilistic Foundations of Statistical Network Analysis

Probabilistic Foundations of Statistical Network Analysis
  • Publisher : CRC Press
  • File Size : 36,7 Mb
  • Release Date : 17 April 2018
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Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for

Doing Meta-Analysis with R

Doing Meta-Analysis with R
  • Publisher : CRC Press
  • File Size : 21,5 Mb
  • Release Date : 15 September 2021
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Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling

A User’s Guide to Network Analysis in R

A User’s Guide to Network Analysis in R
  • Publisher : Springer
  • File Size : 27,6 Mb
  • Release Date : 14 December 2015
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Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social,

Humanities Data in R

Humanities Data in R
  • Publisher : Springer
  • File Size : 33,7 Mb
  • Release Date : 23 September 2015
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​This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be

Inferential Network Analysis

Inferential Network Analysis
  • Publisher : Cambridge University Press
  • File Size : 38,6 Mb
  • Release Date : 19 November 2020
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Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.

Statistical Analysis with Missing Data

Statistical Analysis with Missing Data
  • Publisher : John Wiley & Sons
  • File Size : 39,9 Mb
  • Release Date : 23 April 2019
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An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent decades. This new edition by two

A Survey of Statistical Network Models

A Survey of Statistical Network Models
  • Publisher : Now Publishers Inc
  • File Size : 45,5 Mb
  • Release Date : 17 June 2024
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Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major