Introduction to Social Network Analysis with R

Introduction to Social Network Analysis with R
Author: Michal Bojanowski
Publisher: John Wiley & Sons
Total Pages: 0
Release: 2022-04-22
Genre:
ISBN: 9781118456040

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Introduction to Social Network Analysis with R provides an introduction to performing SNA studies using R, combining the theories of social networks and methods of social network analysis with the R environment as an open source system for statistical data analysis and graphics.


Introduction to Social Network Analysis with R
Language: en
Pages: 0
Authors: Michal Bojanowski
Categories:
Type: BOOK - Published: 2022-04-22 - Publisher: John Wiley & Sons

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Introduction to Social Network Analysis with R provides an introduction to performing SNA studies using R, combining the theories of social networks and methods
A User’s Guide to Network Analysis in R
Language: en
Pages: 241
Authors: Douglas Luke
Categories: Mathematics
Type: BOOK - Published: 2015-12-14 - Publisher: Springer

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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 techni
Applied Social Network Analysis With R: Emerging Research and Opportunities
Language: en
Pages: 284
Authors: Gençer, Mehmet
Categories: Computers
Type: BOOK - Published: 2020-02-07 - Publisher: IGI Global

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Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics an
Statistical Analysis of Network Data with R
Language: en
Pages: 214
Authors: Eric D. Kolaczyk
Categories: Computers
Type: BOOK - Published: 2014-05-22 - Publisher: Springer

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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 import
Conducting Personal Network Research
Language: en
Pages: 293
Authors: Christopher McCarty
Categories: Social Science
Type: BOOK - Published: 2019-02-22 - Publisher: Guilford Publications

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Written at an introductory level, and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. T