Handbook of Graphs and Networks in People Analytics - With Examples in R and Python

Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form.

List of contents

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

About the author

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.

Summary

Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form.

Product details

• Authors: Keith McNulty
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2022
• EAN: 9781032204970
• ISBN: 978-1-0-3220497-0
• No. of pages: 268
• Subjects: Natural sciences, medicine, IT, technology > Mathematics; Social sciences, law, business > Business > Economics; BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Probability & Statistics / General, Personnel & human resources management, Probability & statistics, Mathematical & statistical software, Personnel and human resources management, Probability and statistics, Mathematical and statistical software