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Full Description
A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations.
Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included.
Along with practice problems and exercises, this easily accessible book covers:
The basic concepts of networks, nodes, links, adjacency matrices, and graphs
Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities
Graph-level measures, with a special focus on both the visual and numerical analysis of networks
Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data
Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more
An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject.
Contents
List of Figures xi
List of Tables xv
Foreword xvii
Preface xix
Acknowledgments xxi
Introduction xxv
Part I Network Basics
Chapter 1 What is a Network? 3
1.1 Basic Network Concepts 4
1.2 Adjacency Matrices, Graphs, and Notation 4
1.3 Nodes and Links 6
1.4 Good Will Hunting Problem 9
1.5 Formal and Informal Networks 13
1.6 Summary 18
Chapter 2 Centrality Measures 29
2.1 What is "Centrality" and Why do we Study It? 29
2.2 Calculating Nodal Centrality Measures 33
2.3 Directed Networks and Centrality Measures 46
2.4 Location in the Network 46
2.5 Summary 52
Chapter 3 Graph Level Measures 69
3.1 Density 70
3.2 Diameter 71
3.3 Centralization 73
3.4 Average Centralities 77
3.5 Network Topology 78
3.6 Summary 86
Part II Social Theory
Chapter 4 Social Links 109
4.1 Individual Actors 110
4.2 Social Exchange Theory 111
4.3 Social Forces 113
4.4 Graph Structure 120
4.5 Agent Optimization Strategies in Networks 121
4.6 Hierarchy of Social Link Motivation 124
4.7 Summary
Chapter 5 Subgroup Analysis 129
5.1 Subgroups 129
5.2 Organizational Theory 130
5.3 Random Groups 133
5.4 Heuristics for Subgroup Identification 133
5.5 Analysis Methods 135
5.6 Summary 143
Chapter 6 Diffusion and Influence 149
6.1 Applications for Social Diffusion 149
6.2 Strain Theory 151
6.3 Social Context 152
6.4 Group Impacts on Diffusion 156
6.5 Network Structure and Diffusion 158
6.6 Group Influence Strategies and Bases of Power 160
6.7 Summary 165
Part III Data
Chapter 7 Meta-Networks and Relational Algebra 173
7.1 Modes of Data 174
7.2 Source, Target, Direction 174
7.3 Mulitmode Networks 176
7.4 Bridging a Meta-Network 180
7.5 Strength of Ties 182
7.6 Summary 183
Chapter 8 Sources of Data 189
8.1 Network Sampling 189
8.2 Measuring Links 191
8.3 Data Quality 195
8.4 Additional Ethnographic Data Collection Methods 196
8.5 Anonymity Issues 198
8.6 Summary 199
Part IV Organizational Risk
Chapter 9 Organizational Risk 205
9.1 What is risk? 205
9.2 Measures of Centrality and Risk 207
9.3 Other Risk Measures 216
9.4 The Right Network: Efficient Versus Learning/Adaptive 220
9.5 Network Threats and Vulnerabilities 223
9.6 Thickening a Network 226
9.7 Thinning a Network 227
9.8 Process of Organizational Risk Analysis 228
9.9 Summary of Main Points 231
Appendix A: Matrix Algebra Primer 235
Appendix B: Tables of Data and Networks 241
Appendix C: Five Points of a Graph 273
Index 281
