Table of Contents

Title Page

Copyright

series

List of Figures

List of Tables

Foreword

Preface

Acknowledgments

Introduction

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

References

Chapter 2: Centrality Measures

2.1 What is “Centrality” and Why do we Study IT?

2.2 Calculating Nodal Centrality Measures

2.3 Directed Networks and Centrality Measures

2.4 Location in the Network

2.5 Summary

Chapter 2 Lab Exercise

References

Chapter 3: Graph Level Measures

3.1 Density

3.2 Diameter

3.3 Centralization

3.4 Average Centralities

3.5 Network Topology

3.6 Summary

Chapter 3 Lab Exercise

References

Chapter 4: Social Links

4.1 Individual Actors

4.2 Social Exchange Theory

4.3 Social Forces

4.4 Graph Structure

4.5 Agent Optimization Strategies in Networks

4.6 Hierarchy of Social Link Motivation

4.7 Summary

References

Chapter 5: Subgroup Analysis

5.1 Subgroups

5.2 Organizational Theory

5.3 Random Groups

5.4 Heuristics for Subgroup Identification

5.5 Analysis Methods

5.6 Summary

Chapter 5 Lab Exercise

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

References

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

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

References

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

9.6 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

References

Appendix A: Matrix Algebra Primer

Appendix B: Tables of Data and Networks

Appendix C: Five Points of a Graph

Index