Analyzing Social Media Networks with Microsoft NodeXL
Insights from a Connected World
(Sprache: Englisch)
Social network analysis (SNA) tools provide graphical representations of relations, links, and trends of complex information contained in networked software, the internet, and mobile devices. The visualizations are used for evaluation, comparison, and...
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Produktinformationen zu „Analyzing Social Media Networks with Microsoft NodeXL “
Social network analysis (SNA) tools provide graphical representations of relations, links, and trends of complex information contained in networked software, the internet, and mobile devices. The visualizations are used for evaluation, comparison, and analysis of data--used, for example, by businesses to analyze buying patterns, individuals to analyze social network traffic, and governments to analyze crime trends. NodeXL is a free, open-source SNA tool developed by Microsoft for use with Excel. It applies 20+ years of visual analytic theory and information visualization into a simple tool anyone can use. Not only its application but its development are of interest to HCI researchers. Ben Shneiderman, a pioneer in HCI, developed this tool. In this book, he and others from the development team provide not only an in-depth practical guide on how to best use the tool, but also explain the theory behind it. Although the "how" applies directly to NodeXL, the theory is of use to anyone involved with visual analytics and information visualization.
Klappentext zu „Analyzing Social Media Networks with Microsoft NodeXL “
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
Inhaltsverzeichnis zu „Analyzing Social Media Networks with Microsoft NodeXL “
I. Getting Started with Analyzing Social Media NetworksIntroduction 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
Autoren-Porträt von Derek Hansen
Hansen, DerekDerek L. Hansen is an associate professor in the Information Technology program at Brigham Young University. Prior to that he was at the University of Maryland's iSchool where he directed the Center for the Advanced Study of Communities and Information and was a member of the Human Computer Interaction Lab. Dr. Hansen completed his PhD from the University of Michigan's School of Information where he was an NSF-funded interdisciplinary STIET Fellow focused on understanding and designing effective online socio-technical systems. Dr. Hansen's research and teaching focuses on understanding and designing social technologies, tools, and games for the public good. He has received over $2 million in grants (as a PI or co-PI) to help develop and test novel technical interventions with interdisciplinary collaborators including educational Alternate Reality Games (AGOG, DUST, The Tessera), Playable Case Studies (Microcore), Citizen Science games (Floracaching, Odd Leaf Out), and exercise games (Fitplay Games, various pervasive play games). He has also worked with the Social Media Research Foundation and Human Computer Interaction Lab (HCIL) to develop and evaluate NodeXL, a free network analysis and visualization tool that runs in Microsoft Excel and is designed to help community analysts make sense of the mass of data available via social media tools such as Twitter, Facebook, and email.
Bibliographische Angaben
- Autor: Derek Hansen
- 2010, 304 Seiten, Maße: 21,3 x 27,4 cm, Kartoniert (TB), Englisch
- Verlag: Morgan Kaufmann
- ISBN-10: 0123822297
- ISBN-13: 9780123822291
- Erscheinungsdatum: 05.10.2010
Sprache:
Englisch
Rezension zu „Analyzing Social Media Networks with Microsoft NodeXL “
"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."--Computing Reviews "This is a niche book that is also multi-discliplinary. NodeXL has involved experts in information studies, computer science, sociology, human-computer interaction and cultural studies and this book has contributions from researchers in all these fields and more. It is however highly practical and will motivate readers to use this tool for their own research."--I-Programmer.info "The authors explore the applications of Microsoft's NodeXL, a free, open-source social network analysis (SNA) plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data, drawing on over 20 years of visual analytic theory and information visualization."--Usability News
Pressezitat
"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."-- Computing Reviews "This is a niche book that is also multi-discliplinary. NodeXL has involved experts in information studies, computer science, sociology, human-computer interaction and cultural studies and this book has contributions from researchers in all these fields and more. It is however highly practical and will motivate readers to use this tool for their own research."-- I-Programmer.info
"The authors explore the applications of Microsoft's NodeXL, a free, open-source social network analysis (SNA) plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data, drawing on over 20 years of visual analytic theory and information visualization." -- Usability News
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