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Handbook of Graphs and Networks in People Analytics
:
With Examples in R and Python
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Table of contents
Welcome
Introduction
1
Graphs Everywhere!
2
The Basics of the R Programming Language
3
Working With Graphs
4
Visualizing Graphs
5
Restructuring Data For Use in Graphs
6
Paths and Distance
7
Vertex Importance and Centrality
8
Components, Communities and Cliques
9
Assortativity and Similarity
10
Graphs as Databases
Appendix: Descriptions of Data Sets Used
References
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Appendix: Descriptions of Data Sets Used
10
Graphs as Databases
References
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Appendix: Descriptions of Data Sets Used
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