Analyzing Social Media Networks with NodeXL (2nd Ed.)
Insights from a Connected World

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Language: English
Cover of the book Analyzing Social Media Networks with NodeXL

Subjects for Analyzing Social Media Networks with NodeXL

Keywords

#p2; : Wiki; Affiliation network; Answer people; Article talk page; Autofill columns; Betweenness centrality; Bridges; Centrality metrics; Citizen science; Clique; Closeness centrality; Cluster; Clustering algorithms; Clustering coefficient; Co-editing; Collaboration; Color; Community detection algorithm; Computing dissertations; Connected component; Corporate email; Co-word analysis; CSS-D; Deduplication; Degree; Density; Directed; Disaster response; Discussion starters; Dynamic filters; Ego network; Eigenvector centrality; Election meddling; Email; Email forensics; Email list; Email network; Enron; Excel; Excel formulas; Export; Facebook; Fan pages; Filtering; Fruchterman-Reingold; Government; Group; Group in a box layout; Hashtag; History; HPV Gardasil; Hubs; Import; Importer; In-degree; Information silos; Information Visualization; KeywordsSocial media; Label position; Labeling; Layout algorithm; Many-to-many; Microsoft Exchange; Misinformation; Multimodal; Multiplex; National priorities; Network clusters; Network diameter; Network motif; Network visualization; NodeXL; Opacity; Organizational networks; Out-degree; PageRank; Positioning; Privacy; Questioners; Ravelry; Relevance; Reply network; Roles; Selective exposure; Semantic networks; Sentiment analysis; Social media; Social media definition; Social media design framework; Social media taxonomy; Social network analysis; Social roles; Spreadsheet; Style; Subgraph images; Subgroup; Threaded conversation; Time series; Tooltip; Twitter; Twitter search network; Undirected; Vaccines; Vertex pair ratio; Video networks; Visibility; Visual attributes; Visual properties; Weighted; Width; Wikipedia; Word pairs; YouTube

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248 p. · 21.5x27.6 cm · Paperback

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.

Part 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

Part II. NodeXL Tutorial: Learning by Doing 4. Installation, Orientation, and Layout 5. Labeling and Visual Attributes 6. Calculating and Visualizing Network Metrics 7. Grouping and Filtering 8. Semantic Networks

Part III. Social Media Network Analysis Case Studies 9. Email: The Lifeblood of Modern Communication 10. Thread Networks: Mapping Message Boards and Email Lists 11. Twitter: Information Flows, Influencers, and Organic Communities 12. Facebook: Public Pages and Inter-Organizational Networks 13. YouTube: Exploring Video Networks 14. Wiki Networks: Connections of Culture and Collaboration

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
Derek 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.
Ben Shneiderman is a professor in the Department of Computer Science and founding director of the Human-Computer Interaction Laboratory at the University of Maryland. He was elected as a Fellow of the Association for Computing (ACM) in 1997, a Fellow of the American Association for the Advancement of Science (AAAS) in 2001, and a Fellow of the National Academy of Inventors (NAI) in 2015. He is a past recipient of the ACM SIGCHI Lifetime Achievement Award. Dr. Shneiderman is the author and coauthor of many books, technical papers, and textbooks.
Marc Smith is a sociologist specializing
  • 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/