Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Beschreibung
Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social scientist is left to wonder: Which model is most appropriate for my data? How should I get started with this modeling strategy? And how do I know if my model is any good? This book answers these questions. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.
Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social scientist is left to wonder: Which model is most appropriate for my data? How should I get started with this modeling strategy? And how do I know if my model is any good? This book answers these questions. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.
Inhaltsverzeichnis
Chapter 1. Introduction
Chapter 2: Temporal Exponential Random Graph Models
Chapter 3: Stochastic Actor-oriented Models
Chapter 4: Modeling Relational Event Data
Chapter 5: Network Influence Models
Chapter 6: Conclusion
Details
Erscheinungsjahr: 2023
Genre: Importe
Produktart: Nachschlagewerke
Rubrik: Sachliteratur
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781071857731
ISBN-10: 1071857738
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Duxbury, Scott
Hersteller: Sage Publications
SAGE Publications, Inc
Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 8 x 140 x 216 mm
Von/Mit: Scott Duxbury
Erscheinungsdatum: 02.02.2023
Gewicht: 0,212 kg
Artikel-ID: 122088911