Keith McNulty
Handbook of Graphs and Networks in People Analytics: With Examples in R and Python
Handbook of Graphs and Networks in People Analytics: With Examples in R and Python
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A comprehensive guide to graph theory and its practical applications, with immediate implementable code, illustrations, and real-life examples. Includes downloadable data sets and a chapter on visualization methods.
Format: Hardback
Length: 250 pages
Publication date: 20 June 2022
Publisher: Taylor & Francis Ltd
Immediately implementable code, with extensive and varied illustrations of graph variants and layouts. Examples and exercises across a variety of real-life contexts including business, politics, education, social media, and crime investigation. Dedicated chapter on graph visualization methods. Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment. Various downloadable data sets for use both in class and individual learning projects. Final chapter dedicated to individual or group project examples.
Immediately implementable code, with extensive and varied illustrations of graph variants and layouts. Examples and exercises across a variety of real-life contexts including business, politics, education, social media, and crime investigation. Dedicated chapter on graph visualization methods. Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment. Various downloadable data sets for use both in class and individual learning projects. Final chapter dedicated to individual or group project examples.
Weight: 572g
Dimension: 159 x 242 x 20 (mm)
ISBN-13: 9781032211244
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