Analyzing Social Networks

Langbeschreibung
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.
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 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.
ISBN-13:
9781529609158
Veröffentl:
2024
Erscheinungsdatum:
12.02.2024
Seiten:
360
Autor:
Stephen P Borgatti
Gewicht:
696 g
Format:
246x189x20 mm
Sprache:
Englisch

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