Handbook of graphs and networks in people analytics: with examples in R and Python

By:

McNulty, Keith

Material type: Text

TextPublication details: CRC Press Boca Raton 2022Description: xvii, 250 pISBN:

9781032204970

Subject(s):

DDC classification:

658.300285 MCN

Summary: Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. 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. The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level. Key features: 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 (https://www.routledge.com/Handbook-of-Graphs-and-Networks-in-People-Analytics-With-Examples-in-R/McNulty/p/book/9781032204970)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	658.300285 MCN (Browse shelf(Opens below))	1	Available		005545

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Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. 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.

The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level.

Key features:

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

(https://www.routledge.com/Handbook-of-Graphs-and-Networks-in-People-Analytics-With-Examples-in-R/McNulty/p/book/9781032204970)

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