Langbeschreibung
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
Inhaltsverzeichnis
Chapter 1: IntroductionChapter 2: Mathematical FoundationsChapter 3: Research DesignChapter 4: Data CollectionChapter 5: Data ManagementChapter 6: Multivariate Techniques Used in Network AnalysisChapter 7: VisualizationChapter 8: Local Node-Level MeasuresChapter 9: CentralityChapter 10: Group-level measuresChapter 11: Subgroups and community detectionChapter 12: EquivalenceChapter 13: Analyzing Two-mode DataChapter 14: Introduction to Inferential Statistics for Complete NetworksChapter 15: ERGMs and SAOMs