Название: Analyzing Social Networks Using R Автор: Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens Издательство: SAGE Publications Ltd Год: 2022 Формат: PDF Страниц: 392 Размер: 48,7 Mb Язык: English
This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: Discusses measures and techniques for analyzing social network data, including digital media Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks Offers digital resources like practice datasets and worked examples that help you get to grips with R software
Practical Social Network Analysis with Python Название: Practical Social Network Analysis with Python Автор: Ankith Mohan Издательство: Springer Год: 2018 Страниц: 329 Формат: PDF, EPUB Размер:...
Graph-Based Social Media Analysis Название: Graph-Based Social Media Analysis Автор: Ioannis Pitas Издательство: CRC Press Год: 2015 Формат: PDF Размер: 25 Мб Язык: английский /...
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Analyzing Social Networks Using R 
