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Analyzing Social Networks Using R
Your Essential Guide
Taschenbuch von Stephen P. Borgatti (u. a.)
Sprache: Englisch

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Beschreibung
This approachable book introduces network research in R, walking you through every step of doing social network analysis.
This approachable book introduces network research in R, walking you through every step of doing social network analysis.
Über den Autor
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.
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: 2022
Fachbereich: Kommunikationswissenschaften
Genre: Medienwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 359
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781529722475
ISBN-10: 1529722470
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Borgatti, Stephen P.
Everett, Martin G.
Johnson, Jeffrey C.
Agneessens, Filip
Besonderheit: Unsere Aufsteiger
Hersteller: Sage Publications Ltd.
Maße: 244 x 170 x 21 mm
Von/Mit: Stephen P. Borgatti (u. a.)
Erscheinungsdatum: 28.04.2022
Gewicht: 0,661 kg
preigu-id: 120801855
Über den Autor
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.
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: 2022
Fachbereich: Kommunikationswissenschaften
Genre: Medienwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 359
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781529722475
ISBN-10: 1529722470
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Borgatti, Stephen P.
Everett, Martin G.
Johnson, Jeffrey C.
Agneessens, Filip
Besonderheit: Unsere Aufsteiger
Hersteller: Sage Publications Ltd.
Maße: 244 x 170 x 21 mm
Von/Mit: Stephen P. Borgatti (u. a.)
Erscheinungsdatum: 28.04.2022
Gewicht: 0,661 kg
preigu-id: 120801855
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