SOCIAL NETWORK ANALYSIS -- LIST OF FIGURES -- LIST OF TABLES -- FOREWORD -- PREFACE -- 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 Centrality -- 2.2.5 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) Networks -- 3.5.7 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 Motivation -- 4.7 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 Diffusion -- 6.5 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 -- PART IV ORGANIZATIONAL RISK -- CHAPTER 9 ORGANIZATIONAL RISK -- 9.1 What is Risk? -- 9.2 Measures of Centrality and Risk -- 9.3 Other Risk Measures -- 9.4 The Right Network: Efficient Versus Learning/Adaptive -- 9.5 Network Threats and Vulnerabilities -- 9.5.1 Threat 1: Accessing Organizational Assets -- 9.5.2 Threat 2: Cognitive Overload -- 9.5.3 Threat 3: Silo Effect -- 9.5.4 Threat 4: Unwelcomed Organizational Change -- 9.6 Thickening a Network -- 9.7 Thinning a Network -- 9.8 Process of Organizational Risk Analysis -- 9.9 Summary of Main Points -- Chapter 9 Lab Exercise -- Exercises.

References -- APPENDIX A: MATRIX ALGEBRA PRIMER -- APPENDIX B: TABLES OF DATA AND NETWORKS -- APPENDIX C: FIVE POINTS OF A GRAPH -- INDEX.