Keith McNulty

Handbook of Graphs and Networks in People Analytics (eBook, ePUB)

With Examples in R and Python

• Format: ePub

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 268
• Erscheinungstermin: 19. Juni 2022
• Englisch
• ISBN-13: 9781000597271
• Artikelnr.: 63907377

Autorenporträt

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.

Inhaltsangabe

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