Social network analysis with applications

Social network analysis with applications / Ian A. McCulloh, Helen L. Armstrong, Anthony N. Johnson.

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Bibliographic Details
Main Authors: McCulloh, Ian (Author), Armstrong, Helen (Helen Leslie) (Author), Johnson, Anthony N. (Author)
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
Subjects:
Social networks > Mathematical models.
Social sciences > Network analysis.
Risk.
BUSINESS & ECONOMICS > Negotiating.
FAMILY & RELATIONSHIPS > Interpersonal Relations.
Risk
Social networks > Mathematical models
Social sciences > Network analysis
Sociology & Social History.
Social Sciences.
Social Change.
Online Access:Click for online access
Table of Contents:
  • part I. Network basics. chapter 1. What is a network? ; chapter 2. Centrality measures ; chapter 3. Graph level measures
  • part II. Social theory. chapter 4. Social links ; chapter 5. Subgroup analysis ; chapter 6. Diffusion and influence
  • part III. Data. chapter 7. Meta-networks and relational algebra ; chapter 8. Sources of data
  • part IV. Organizational risk. chapter 9. Organizational risk
  • appendix A. Matrix algebra primer
  • appendix B. Tables of data and networks
  • appendix C. Five points of a graph.
  • SOCIAL NETWORK ANALYSIS; CONTENTS; LIST OF FIGURES; LIST OF TABLES; FOREWORD; PREFACE; ACKNOWLEDGMENTS; INTRODUCTION; PART I NETWORK BASICS; CHAPTER 1 WHAT IS A NETWORK?; 1.1 Basic Network Concepts; 1.2 Adjacency Matrices, Graphs, and Notation; 1.3 Nodes and Links; 1.4 Good Will Hunting Problem; 1.5 Formal and Informal Networks; 1.6 Summary; Chapter 1 Lab Exercise; Exercises; References; CHAPTER 2 CENTRALITY MEASURES; 2.1 What is ""Centrality"" and Why do we Study IT?; 2.2 Calculating Nodal Centrality Measures; 2.2.1 Degree Centrality; 2.2.2 Betweenness Centrality; 2.2.3 Closeness Centrality.
  • 2.2.4 Eigenvector Centrality2.2.5 Google PageRank: A Variant of Eigenvector Centrality; 2.3 Directed Networks and Centrality Measures; 2.4 Location in the Network; 2.5 Summary; Chapter 2 Lab Exercise; Exercises; References; CHAPTER 3 GRAPH LEVEL MEASURES; 3.1 Density; 3.2 Diameter; 3.3 Centralization; 3.3.1 Degree Centralization; 3.3.2 Betweenness Centralization; 3.3.3 Closeness Centralization; 3.4 Average Centralities; 3.5 Network Topology; 3.5.1 Lattice Networks; 3.5.2 Small World Networks; 3.5.3 Core Periphery; 3.5.4 Cellular Networks; 3.5.5 Scale-Free Networks.
  • 3.5.6 Random (Erdös-Rényi) Networks3.5.7 Comparison of Network Topologies; 3.6 Summary; Chapter 3 Lab Exercise; Exercises; References; PART II SOCIAL THEORY; CHAPTER 4 SOCIAL LINKS; 4.1 Individual Actors; 4.2 Social Exchange Theory; 4.3 Social Forces; 4.3.1 Homophily; 4.3.2 Reciprocity; 4.3.3 Proximity; 4.3.4 Prestige; 4.3.5 Social Conformity; 4.3.6 Transitivity; 4.3.7 Balance; 4.4 Graph Structure; 4.4.1 Structural Balance; 4.4.2 Clusterability; 4.5 Agent Optimization Strategies in Networks; 4.5.1 Structural Holes; 4.5.2 Social Capital; 4.5.3 Link Optimization.
  • 4.6 Hierarchy of Social Link Motivation4.7 Summary; Exercises; References; CHAPTER 5 SUBGROUP ANALYSIS; 5.1 Subgroups; 5.2 Organizational Theory; 5.3 Random Groups; 5.4 Heuristics for Subgroup Identification; 5.4.1 Attribute Defined; 5.4.2 Consecutive Correlation (CONCOR); 5.4.3 Newman-Girvan Grouping; 5.5 Analysis Methods; 5.5.1 Group Membership; 5.5.2 Hierarchical Clustering; 5.5.3 Block Model; 5.6 Summary; Chapter 5 Lab Exercise; Exercises; References; CHAPTER 6 DIFFUSION AND INFLUENCE; 6.1 Applications for Social Diffusion; 6.2 Strain Theory; 6.3 Social Context.
  • 6.4 Group Impacts on Diffusion6.5 Network Structure and Diffusion; 6.6 Group Influence Strategies and Bases of Power; 6.7 Summary; Exercises; References; PART III DATA; CHAPTER 7 META-NETWORKS AND RELATIONAL ALGEBRA; 7.1 Modes of Data; 7.2 Source, Target, Direction; 7.3 Multimode Networks; 7.4 Bridging a Meta-Network; 7.5 Strength of Ties; 7.6 Summary; Chapter 7 Lab Exercise; Exercises; References; CHAPTER 8 SOURCES OF DATA; 8.1 Network Sampling; 8.2 Measuring Links; 8.3 Data Quality; 8.4 Additional Ethnographic Data Collection Methods; 8.5 Anonymity Issues; 8.6 Summary; Exercises; References.

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