1st Edition
Handbook of Graphs and Networks in People Analytics With Examples in R and Python
1. Graphs Everywhere!, 2. Working With Graphs, 3. Visualizing Graphs, 4. Restructuring Data For Use in Graphs, 5. Paths and Distance, 6. Vertex Importance and Centrality, 7. Components, Communities and Cliques, 8. Assortativity and Similarity, 9. Graphs as Databases, 10. Further Exercises for Practice
Biography
Keith McNulty, PhD is a leading practitioner of applied mathematics, statistics, psychometrics and people analytics. He is currently Global Director of Talent Science and Analytics at McKinsey & Company.
“It is exciting and inspiring to see the way McNulty explains network methods, as he unpacks the distinct elements and analytic steps to make them transparent. This makes it easier for readers to see how these elements fit together and apply to organizational challenges, sparking new ideas for innovative solutions. By demystifying this topic, McNulty empowers people to find their own solutions and engage in more productive conversations, regardless of who is writing the actual code or running the analyses. This book can help to democratize network analysis and improve the level of data fluency in organizations more generally.”
- From the foreword by Professor Jeff Polzer, Harvard Business School
