{"product_id":"handbook-of-graphs-and-networks-in-people-analytics-with-examples-in-r-and-python-paperback","title":"Handbook of Graphs and Networks in People Analytics: With Examples in R and Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKeith McNulty\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eHandbook of Graphs and Networks in People Analytics: With Examples in R and Python\u003c\/i\u003e\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eKey features: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eImmediately implementable code, with extensive and varied illustrations of graph variants and layouts\u003c\/li\u003e \u003cli\u003eExamples and exercises across a variety of real-life contexts including business, politics, education, social media and crime investigation\u003c\/li\u003e \u003cli\u003eDedicated chapter on graph visualization methods\u003c\/li\u003e \u003cli\u003ePractical 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\u003c\/li\u003e \u003cli\u003eVarious downloadable data sets for use both in class and individual learning projects\u003c\/li\u003e \u003cli\u003eFinal chapter dedicated to individual or group project examples\u003c\/li\u003e\n\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKeith McNulty\u003c\/strong\u003e, 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 \u0026amp; Company.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 268\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 20, 2022\u003c\/div\u003e\n            \u003c\/ul\u003e","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52484150821171,"sku":"9781032204970","price":172.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/ZHkyNkdWdm5IK2l5c2JIRjAwckdGQT09.webp?v=1759780732","url":"https:\/\/www.vysn.com\/products\/handbook-of-graphs-and-networks-in-people-analytics-with-examples-in-r-and-python-paperback","provider":"VYSN","version":"1.0","type":"link"}