Analyzing Social Media Networks with NodeXL: Insights from a Connected World

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9780123822291: Analyzing Social Media Networks with NodeXL: Insights from a Connected World

Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world.

In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up to provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA.

To learn more about Analyzing Social Media Networks and NodeXL, visit the companion site at www.mkp.com/nodexl

*Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA

*Demonstrates how visual analytics research can be applied to SNA tools for the mass market

*Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis

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Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies.
Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events.

*Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA

*Demonstrates how visual analytics research can be applied to SNA tools for the mass market

*Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis

*Download companion materials and resources at https://nodexl.codeplex.com/documentation

About the Author:

Ben Shneiderman is a professor in the Department of Computer Science, head of the Human-Computer Interaction Laboratory, and member of the Institutes for Advanced Computer Studies and Systems Research at the University of Maryland, College Park. He is the author and coauthor of many books, technical papers, and textbooks.

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Hansen, Derek; Shneiderman, Ben; Smith, Marc A.
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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 2010. Paperback. Book Condition: New. 274 x 218 mm. Language: English . Brand New Book. Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. Bookseller Inventory # AAU9780123822291

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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 2010. Paperback. Book Condition: New. 274 x 218 mm. Language: English . Brand New Book. Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. *Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA *Demonstrates how visual analytics research can be applied to SNA tools for the mass market *Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis *Download companion materials and resources at. Bookseller Inventory # AAU9780123822291

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Book Description Paperback. Book Condition: New. Not Signed; Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concep. book. Bookseller Inventory # ria9780123822291_rkm

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Book Description Morgan Kaufmann, 2010. Book Condition: New. 2010. 1st Edition. Paperback. Insights from a Connected World. 304 pages, col. Illustrations. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. This title guide walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that can apply any SNA. Cateogry: (P) Professional & Vocational. BIC Classification: UT. Dimension: 276 x 215 x 15. Weight: 884. . . . . . . Bookseller Inventory # V9780123822291

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Book Description Morgan Kaufmann. Book Condition: New. 2010. 1st Edition. Paperback. Insights from a Connected World. 304 pages, col. Illustrations. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. This title guide walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that can apply any SNA. Cateogry: (P) Professional & Vocational. BIC Classification: UT. Dimension: 276 x 215 x 15. Weight: 884. . . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780123822291

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Book Description Morgan Kaufmann, 2010. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: "Using NodeXL is a key part of developing critical network literacies, understanding personal, professional and political networks is a skill we all need to develop today. This book is one of the simplest ways to gain network insights and build useful maps that can guide your decisions." - Howard Rheingold, author, The Virtual Community, Smart Mobs; lecturer, Stanford, UC Berkeley "Social networks are fundamental to all societies, but the SNA tools and concepts have often been esoteric and demanding. NodeXL is a easy and fun way to learn basic network concepts and techniques, readers can quickly develop mastery of core social network analysis concepts and apply them to personally meaningful data sets from popular services like email, Twitter, flickr, and Facebook."- Prof. Barry Wellman, University of Toronto, Sociologist, Founder of the International Network for Social Network Analysis "Social media inside organizations and enterprises creates new opportunities for mapping social networks at work. Using NodeXL is one of the simplest ways business managers can gain an introduction to social network concepts and visualizations by applying them to their own email, blogs, wikis, and other communication records. The insights from enterprise social networks can reveal the real "org-chart" - highlighting key people, groups, and locations in the organization." - Prof. Rob Cross, University of Virginia, Author of Driving Results Through Social Networks and Hidden Power of Social Networks "Analyzing Social Media Networks with NodeXL provides a much needed resource for the social media research community, as it describes network theory, provides compelling examples using data sources like Twitter and Flickr, and highlights how to use a free sophisticated tool for analysis. This is the perfect book for anyone trying to analyze the behavior of online social networks and beyond." - Adam Perer, Research Scientist, IBM Research "This book provides a basic introduction to social network analysis, followed by practical instruction and examples on gathering data from online sources, importing into Excel, and then analyzing the data through Excel. The book will be important for promoting research in the area for those in information science, sociology, cultural studies, virtual community, and e-commerce." - Caroline Haythornthwaite, PhD, Professor, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign "As social media networks become critical to e-commerce and organizational strategies, potent social network analysis tools like NodeXL are essential to understand customer communities and optimize internal and external communication. This thorough and thoughtful book demonstrates the analysis and visualization of networks that can yield actionable insights." - Tony Hey, Vice President, Microsoft Research, External Research "Hansen, Shneiderman, and Smith, along with their collaborators, have written a readable introduction to the field of social media network analysis. Furthermore, the book is a nice tutorial on an interesting tool that readers can experiment with on their own. For example, the readers can simply use the Facebook application provided by Bernie Hogan, one of the book's collaborators, to analyze the ego networks that they know best: their own network of friends, family, and acquaintances. This book offers a sure way to understand some of the basic concepts of network analysis."-- Fernando Berzal, Computing Reviews, March 2011. Bookseller Inventory # ABE_book_new_0123822297

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