A User s Guide to Network Analysis in R

Book A User   s Guide to Network Analysis in R Cover

A User s Guide to Network Analysis in R PDF book by Douglas Luke Read Online or Free Download in ePUB, PDF or Kindle eBooks. Published in 14 December 2015 the book become immediate popular and critical acclaim in Mathematics books. Click Download Book button to get book file. Read some info about this book below.

  • Publisher : Springer
  • Release : 14 December 2015
  • ISBN : 9783319238838
  • Page : 238 pages
  • Total View : 5480 Views
  • Rating : 4.5/5 from 103 voters

A User s Guide to Network Analysis in R Book PDF summary

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, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

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A User’s Guide to Network Analysis in R

A User’s Guide to Network Analysis in R
  • Author : Douglas Luke
  • Publisher : Springer
  • Total Download : 746
  • File Size : 43,7 Mb
DOWNLOAD BOOKA User’s Guide to Network Analysis in R

A User’s Guide to Network Analysis in R PDF book is popular Mathematics book written by Douglas Luke. The book was released by Springer in 14 December 2015 with total hardcover pages 238. 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, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books

Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R
  • Author : Eric D. Kolaczyk,Gábor Csárdi
  • Publisher : Springer
  • Total Download : 885
  • File Size : 47,8 Mb
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Statistical Analysis of Network Data with R PDF book is popular Mathematics book written by Eric D. Kolaczyk,Gábor Csárdi. The book was released by Springer in 22 May 2014 with total hardcover pages 238. 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

Network Analysis and Visualization in R

Network Analysis and Visualization in R
  • Author : Alboukadel Kassambara
  • Publisher : STHDA
  • Total Download : 372
  • File Size : 49,9 Mb
DOWNLOAD BOOKNetwork Analysis and Visualization in R

Network Analysis and Visualization in R PDF book is popular Mathematics book written by Alboukadel Kassambara. The book was released by STHDA in 26 November 2017 with total hardcover pages 238. Social network analysis is used to investigate the inter-relationship between entities. Examples of network structures, include: social media networks, friendship networks and collaboration networks. This book provides a quick start guide to network analysis and visualization in R. You'll learn, how to: - Create static and interactive network graphs using modern R packages. - Change the layout of network graphs. - Detect important or central entities in a network graph. - Detect community (or cluster) in a network.

Applied Social Network Analysis With R: Emerging Research and Opportunities

Applied Social Network Analysis With R: Emerging Research and Opportunities
  • Author : Gençer, Mehmet
  • Publisher : IGI Global
  • Total Download : 911
  • File Size : 48,7 Mb
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Applied Social Network Analysis With R: Emerging Research and Opportunities PDF book is popular Mathematics book written by Gençer, Mehmet. The book was released by IGI Global in 07 February 2020 with total hardcover pages 238. Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the

R and Data Mining

R and Data Mining
  • Author : Yanchang Zhao
  • Publisher : Academic Press
  • Total Download : 167
  • File Size : 44,6 Mb
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R and Data Mining PDF book is popular Mathematics book written by Yanchang Zhao. The book was released by Academic Press in 31 December 2012 with total hardcover pages 238. R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis,

Statistical Analysis of Network Data

Statistical Analysis of Network Data
  • Author : Eric D. Kolaczyk
  • Publisher : Springer Science & Business Media
  • Total Download : 483
  • File Size : 47,5 Mb
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Statistical Analysis of Network Data PDF book is popular Mathematics book written by Eric D. Kolaczyk. The book was released by Springer Science & Business Media in 20 April 2009 with total hardcover pages 238. 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 all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and

R: Data Analysis and Visualization

R: Data Analysis and Visualization
  • Author : Tony Fischetti,Brett Lantz,Jaynal Abedin,Hrishi V. Mittal,Bater Makhabel,Edina Berlinger,Ferenc Illes,Milan Badics,Adam Banai,Gergely Daroczi
  • Publisher : Packt Publishing Ltd
  • Total Download : 687
  • File Size : 45,8 Mb
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R: Data Analysis and Visualization PDF book is popular Mathematics book written by Tony Fischetti,Brett Lantz,Jaynal Abedin,Hrishi V. Mittal,Bater Makhabel,Edina Berlinger,Ferenc Illes,Milan Badics,Adam Banai,Gergely Daroczi. The book was released by Packt Publishing Ltd in 24 June 2016 with total hardcover pages 238. Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data

R Graphics Essentials for Great Data Visualization

R Graphics Essentials for Great Data Visualization
  • Author : Alboukadel Kassambara
  • Publisher : STHDA
  • Total Download : 571
  • File Size : 47,7 Mb
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R Graphics Essentials for Great Data Visualization PDF book is popular Mathematics book written by Alboukadel Kassambara. The book was released by STHDA in 14 November 2017 with total hardcover pages 238. Data visualization is one of the most important part of data science. Many books and courses present a catalogue of graphics but they don't teach you which charts to use according to the type of the data. In this book, we start by presenting the key graphic systems and packages available in R, including R base graphs, lattice and ggplot2 plotting systems. Next, we provide more than 200 practical examples to create great graphics for the right data using either the