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Analyzing Social Networks Using R
Your Essential Guide
Langbeschreibung
This approachable book introduces network research in R, walking you through every step of doing social network analysis.
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
Stephen Borgatti is the Gatton Endowed Chair of Management at the Gatton College of Business and Economics at the University of Kentucky. He has published extensively in management journals, as well cross-disciplinary journals such as Science and Social Networks. He has published over 100 peer-reviewed articles on network analysis, garnering more than 70,000 Google Scholar citations. With Martin Everett, Steve is co-author of UCINET, a well-known software package for social network analysis, as well as founder of the annual LINKS Center workshop on social network analysis. He is also a 2-term past President of INSNA (the professional association for network researchers) and winner of their Simmel Award for lifetime achievement.
ISBN-13:
9781529722475
Veröffentl:
2022
Erscheinungsdatum:
28.04.2022
Seiten:
359
Autor:
Stephen P. Borgatti
Gewicht:
661 g
Format:
244x170x21 mm
Sprache:
Englisch