Includes bibliographical references and index.

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.

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.