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Analyzing social media networks with NodeXL : insights from a connected world / Derek L. Hansen, Ben Schneiderman, Marc A. Smith.

By: Contributor(s): Material type: TextTextPublication details: Amsterdam ; Boston : M. Kaufmann, c2010.Description: p. cmISBN:
  • 0123822297
  • 9780123822291
Subject(s): Genre/Form: Additional physical formats: No titleOnline resources:
Contents:
I. Getting Started with Analyzing Social Media Networks -- Introduction to Social Media and Social Networks -- Social media: New Technologies of Collaboration -- Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections -- II. NodeXL Tutorial: Learning by Doing -- 4. Getting Started with NodeXL, Layout, Visual Design, and Labeling -- 5. Calculating and Visualizing Network Metrics  -- 6. Preparing Data and Filtering -- 7. Clustering and Grouping -- III Social Media Network Analysis Case Studies -- 8. Email: The Lifeblood of Modern Communication -- 9. Thread Networks: Mapping Message Boards and Email Lists -- 10. Twitter: Conversation, Entertainment, And Information, All in One Network! - Scott Golder, Cornell University,Vladimir Barash, Cornell University -- 11. Visualizing and Interpreting Facebook Networks - Bernie Hogan, Oxford Internet Institute -- 12. WWW Hyperlink Networks - Robert Ackland, ANU -- 13. Flickr: Linking People, Photos, and Tags - Eduarda Mendes Rodrigues, Microsoft Research, Natasa Milic-Frayling, Microsoft Research -- 14. YouTube: Contrasting Patterns of Interaction and Prominence - Dana Rotman and Jennifer Golbeck -- 15. Wiki Networks: Connections of Creativity and Collaboration - Ted Welser, University of Maryland, Derek Hansen, University of Maryland -- Appendix- NodeXL for Programmers- Tony Capone.
Summary: 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 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. *Walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that can apply any SNA *Demonstrates how visual analytics research can be applied to SNA tools for the mass market *Presents readers with case studies using NodeXL on popular networks like email, Facebook, Twitter, and wikis.
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Enhanced descriptions from Syndetics:

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.

Includes bibliographical references and index.

I. Getting Started with Analyzing Social Media Networks -- Introduction to Social Media and Social Networks -- Social media: New Technologies of Collaboration -- Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections -- II. NodeXL Tutorial: Learning by Doing -- 4. Getting Started with NodeXL, Layout, Visual Design, and Labeling -- 5. Calculating and Visualizing Network Metrics  -- 6. Preparing Data and Filtering -- 7. Clustering and Grouping -- III Social Media Network Analysis Case Studies -- 8. Email: The Lifeblood of Modern Communication -- 9. Thread Networks: Mapping Message Boards and Email Lists -- 10. Twitter: Conversation, Entertainment, And Information, All in One Network! - Scott Golder, Cornell University,Vladimir Barash, Cornell University -- 11. Visualizing and Interpreting Facebook Networks - Bernie Hogan, Oxford Internet Institute -- 12. WWW Hyperlink Networks - Robert Ackland, ANU -- 13. Flickr: Linking People, Photos, and Tags - Eduarda Mendes Rodrigues, Microsoft Research, Natasa Milic-Frayling, Microsoft Research -- 14. YouTube: Contrasting Patterns of Interaction and Prominence - Dana Rotman and Jennifer Golbeck -- 15. Wiki Networks: Connections of Creativity and Collaboration - Ted Welser, University of Maryland, Derek Hansen, University of Maryland -- Appendix- NodeXL for Programmers- Tony Capone.

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 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. *Walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that can apply any SNA *Demonstrates how visual analytics research can be applied to SNA tools for the mass market *Presents readers with case studies using NodeXL on popular networks like email, Facebook, Twitter, and wikis.

Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2010. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Aug. 4, 2010). Access may be restricted to users at subscribing institutions.

Table of contents provided by Syndetics

  • I Getting Started with Analyzing Social Media Networks
  • 1 Introduction to Social Media and Social Networks
  • 2 Social media: New Technologies of Collaboration
  • 3 Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections
  • II NodeXL Tutorial: Learning by Doing
  • 4 Getting Started with NodeXL, Layout, Visual Design, and Labeling
  • 5 Calculating and Visualizing Network Metrics
  • 6 Preparing Data and Filtering
  • 7 Clustering and Grouping
  • III Social Media Network Analysis Case Studies
  • 8 Email: The Lifeblood of Modern Communication
  • 9 Thread Networks: Mapping Message Boards and Email Lists
  • 10 Twitter: Conversation, Entertainment, And Information, All in One Network!
  • 11 Visualizing and Interpreting Facebook Networks
  • 12 WWW Hyperlink Networks
  • 13 Flickr: Linking People, Photos, and Tags
  • 14 YouTube: Contrasting Patterns of Interaction and Prominence
  • 15 Wiki Networks: Connections of Creativity and Collaboration
  • Appendix: NodeXL for Programmers

Author notes provided by Syndetics

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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