Analyzing Social Media Networks with NodeXL - Edition 2 - By Derek Hansen, Ph.D., University of Michigan, Ben Shneiderman, Ph.D., SUNY at Stony Brook, Marc A. Smith, Ph.D., UCLA, Los Angeles, CA and Itai Himelboim, Ph.D. - School of Journalism and Mass Communication, University of Minnesota Elsevier Educate

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Analyzing Social Media Networks with NodeXL,

Edition 2 Insights from a Connected World

By Derek Hansen, Ph.D., University of Michigan, Ben Shneiderman, Ph.D., SUNY at Stony Brook, Marc A. Smith, Ph.D., UCLA, Los Angeles, CA and Itai Himelboim, Ph.D. - School of Journalism and Mass Communication, University of Minnesota

Publication Date: 18 Jun 2019

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Description

Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Second Edition, provides readers with a thorough, practical and updated guide to NodeXL, the open-source social network analysis (SNA) plug-in for use with Excel. The book analyzes social media, provides a NodeXL tutorial, and presents network analysis case studies, all of which are revised to reflect the latest developments. Sections cover history and concepts, mapping and modeling, the detailed operation of NodeXL, and case studies, including e-mail, Twitter, Facebook, Flickr and YouTube. In addition, there are descriptions of each system and types of analysis for identifying people, documents, groups and events.

This book is perfect for use as a course text in social network analysis or as a guide for practicing NodeXL users.

Key Features

Walks users through NodeXL while also explaining the theory and development behind each step
Demonstrates how visual analytics research can be applied to SNA tools for the mass market
Includes updated case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and Instagram
Includes downloadable companion materials and online resources at https://www.smrfoundation.org/nodexl/teaching-with-nodexl/teaching-resources/

About the author

By Derek Hansen, Ph.D., University of Michigan, Department of Information Technology, Brigham Young University, Provo, Utah; Ben Shneiderman, Ph.D., SUNY at Stony Brook, Department of Computer Science and Founding Director of the HCI Lab, University of Maryland; Marc A. Smith, Ph.D., UCLA, Los Angeles, CA, Chief Social Scientist, Connected Action Consulting Group; and Itai Himelboim, Ph.D. - School of Journalism and Mass Communication, University of Minnesota, Grady College of Journalism & Mass Communication, University of Georgia, Athens, Georgia USA

Title details

ISBN: 9780128177563

Page Count: 248

Illustrations : 220 illustrations (220 in full color)

Retail Price (USD) :

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Pozzi, Fersini, Messina, and Liu, Sentiment Analysis in Social Networks, 9780128044124, Morgan Kaufmann, Sep 2016, 284pp, $59.95
Ware, Information Visualization: Perception for Design, 3e, 9780123814647, Morgan Kaufmann, May 2012, 536pp, $64.95

Audience

Students, researchers, academics, and practitioners in visual analytics, information visualization, HCI, web design, user experience design, information architecture; database administrators, data/Information analysts, information and enterprise architects, data warehouse and systems engineers

Reviews

Since I first adopted this book with its 1st edition in 2016, it has proven to be an invaluable resource for my students. It particularly benefits self-learners with no prior background in data science or social network analysis (SNA).

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