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Cover: 9781529609158 | Analyzing Social Networks | Jeffrey C Johnson | Taschenbuch | Englisch
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Analyzing Social Networks
Taschenbuch von Stephen P Borgatti (u. a.)
Sprache: Englisch

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Beschreibung
The definitive guide to doing network analysis using UCINET, written by world-class academics and a deft, sophisticated introduction to social network research design, data, and analysis.
The definitive guide to doing network analysis using UCINET, written by world-class academics and a deft, sophisticated introduction to social network research design, data, and analysis.
Über den Autor
Stephen P. Borgatti, PhD 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 as cross-disciplinary journals such as Science and Social Networks. He has published over 100 peer-reviewed articles on network analysis, garnering more than 80,000 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 two-term past president of INSNA (the professional association for network researchers) and winner of their Simmel Award for lifetime achievement.
Inhaltsverzeichnis
CHAPTER 1: INTRODUCTION
CHAPTER 2: MATHEMATICAL FOUNDATIONS
CHAPTER 3: RESEARCH DESIGN
CHAPTER 4: DATA COLLECTION
CHAPTER 5: DATA MANAGEMENT
CHAPTER 6: MULTIVARIATE TECHNIQUES USED IN NETWORK ANALYSIS
CHAPTER 7: VISUALIZATION
CHAPTER 8: LOCAL NODE-LEVEL MEASURES
CHAPTER 9: CENTRALITY
CHAPTER 10: GROUP-LEVEL MEASURES
CHAPTER 11: SUBGROUPS AND COMMUNITY DETECTION
CHAPTER 12: EQUIVALENCE
CHAPTER 13: ANALYZING TWO-MODE DATA
CHAPTER 14: INTRODUCTION TO INFERENTIAL STATISTICS FOR COMPLETE NETWORKS
CHAPTER 15: ERGMS AND SAOMS
Details
Erscheinungsjahr: 2024
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Taschenbuch
ISBN-13: 9781529609158
ISBN-10: 1529609151
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Borgatti, Stephen P
Everett, Martin G
Johnson, Jeffrey C
Auflage: 3. Auflage
Hersteller: SAGE Publications Ltd
Maße: 246 x 189 x 20 mm
Von/Mit: Stephen P Borgatti (u. a.)
Erscheinungsdatum: 12.02.2024
Gewicht: 0,696 kg
Artikel-ID: 127717685
Über den Autor
Stephen P. Borgatti, PhD 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 as cross-disciplinary journals such as Science and Social Networks. He has published over 100 peer-reviewed articles on network analysis, garnering more than 80,000 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 two-term past president of INSNA (the professional association for network researchers) and winner of their Simmel Award for lifetime achievement.
Inhaltsverzeichnis
CHAPTER 1: INTRODUCTION
CHAPTER 2: MATHEMATICAL FOUNDATIONS
CHAPTER 3: RESEARCH DESIGN
CHAPTER 4: DATA COLLECTION
CHAPTER 5: DATA MANAGEMENT
CHAPTER 6: MULTIVARIATE TECHNIQUES USED IN NETWORK ANALYSIS
CHAPTER 7: VISUALIZATION
CHAPTER 8: LOCAL NODE-LEVEL MEASURES
CHAPTER 9: CENTRALITY
CHAPTER 10: GROUP-LEVEL MEASURES
CHAPTER 11: SUBGROUPS AND COMMUNITY DETECTION
CHAPTER 12: EQUIVALENCE
CHAPTER 13: ANALYZING TWO-MODE DATA
CHAPTER 14: INTRODUCTION TO INFERENTIAL STATISTICS FOR COMPLETE NETWORKS
CHAPTER 15: ERGMS AND SAOMS
Details
Erscheinungsjahr: 2024
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Taschenbuch
ISBN-13: 9781529609158
ISBN-10: 1529609151
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Borgatti, Stephen P
Everett, Martin G
Johnson, Jeffrey C
Auflage: 3. Auflage
Hersteller: SAGE Publications Ltd
Maße: 246 x 189 x 20 mm
Von/Mit: Stephen P Borgatti (u. a.)
Erscheinungsdatum: 12.02.2024
Gewicht: 0,696 kg
Artikel-ID: 127717685
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