A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and moreWritten 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 moreAn 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.

List of Figures xiList of Tables xvForeword xviiPreface xixAcknowledgments xxiIntroduction xxvPart I Network BasicsChapter 1 What is a Network? 31.1 Basic Network Concepts 41.2 Adjacency Matrices, Graphs, and Notation 41.3 Nodes and Links 61.4 Good Will Hunting Problem 91.5 Formal and Informal Networks 131.6 Summary 18Chapter 2 Centrality Measures 292.1 What is "Centrality" and Why do we Study It? 292.2 Calculating Nodal Centrality Measures 332.3 Directed Networks and Centrality Measures 462.4 Location in the Network 462.5 Summary 52Chapter 3 Graph Level Measures 693.1 Density 703.2 Diameter 713.3 Centralization 733.4 Average Centralities 773.5 Network Topology 783.6 Summary 86Part II Social TheoryChapter 4 Social Links 1094.1 Individual Actors 1104.2 Social Exchange Theory 1114.3 Social Forces 1134.4 Graph Structure 1204.5 Agent Optimization Strategies in Networks 1214.6 Hierarchy of Social Link Motivation 1244.7 SummaryChapter 5 Subgroup Analysis 1295.1 Subgroups 1295.2 Organizational Theory 1305.3 Random Groups 1335.4 Heuristics for Subgroup Identification 1335.5 Analysis Methods 1355.6 Summary 143Chapter 6 Diffusion and Influence 1496.1 Applications for Social Diffusion 1496.2 Strain Theory 1516.3 Social Context 1526.4 Group Impacts on Diffusion 1566.5 Network Structure and Diffusion 1586.6 Group Influence Strategies and Bases of Power 1606.7 Summary 165Part III DataChapter 7 Meta-Networks and Relational Algebra 1737.1 Modes of Data 1747.2 Source, Target, Direction 1747.3 Mulitmode Networks 1767.4 Bridging a Meta-Network 1807.5 Strength of Ties 1827.6 Summary 183Chapter 8 Sources of Data 1898.1 Network Sampling 1898.2 Measuring Links 1918.3 Data Quality 1958.4 Additional Ethnographic Data Collection Methods 1968.5 Anonymity Issues 1988.6 Summary 199Part IV Organizational RiskChapter 9 Organizational Risk 2059.1 What is risk? 2059.2 Measures of Centrality and Risk 2079.3 Other Risk Measures 2169.4 The Right Network: Efficient Versus Learning/Adaptive 2209.5 Network Threats and Vulnerabilities 2239.6 Thickening a Network 2269.7 Thinning a Network 2279.8 Process of Organizational Risk Analysis 2289.9 Summary of Main Points 231Appendix A: Matrix Algebra Primer 235Appendix B: Tables of Data and Networks 241Appendix C: Five Points of a Graph 273Index 281