"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
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.
Recenzijas
"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 books 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 Microsofts 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
Papildus informācija
A practical guide to using NodeXL coupled with an in-depth look into the theory and research behind its development!
Preface |
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ix | |
Acknowledgments |
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xi | |
About the Authors |
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xiii | |
Contributors |
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xv | |
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I GETTING STARTED WITH ANALYZING SOCIAL MEDIA NETWORKS |
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1 Introduction to Social Media and Social Networks |
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3 | (8) |
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2 Social Media: New Technologies of Collaboration |
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11 | (20) |
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3 Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections |
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31 | (22) |
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II NODEXL TUTORIAL: LEARNING BY DOING |
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4 Getting Started with NodeXL, Layout, Visual Design, and Labeling |
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53 | (16) |
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5 Calculating and Visualizing Network Metrics |
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69 | (10) |
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6 Preparing Data and Filtering |
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79 | (14) |
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7 Clustering and Grouping |
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93 | (12) |
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III SOCIAL MEDIA NETWORK ANALYSIS CASE STUDIES |
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8 Email: The Lifeblood of Modern Communication |
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105 | (22) |
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9 Thread Networks: Mapping Message Boards and Email Lists |
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127 | (16) |
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10 Twitter: Conversation, Entertainment, and Information, All in One Network! |
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143 | (22) |
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11 Visualizing and Interpreting Facebook Networks |
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165 | (16) |
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12 WWW Hyperlink Networks |
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181 | (20) |
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13 Flickr: Linking People, Photos, and Tags |
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201 | (24) |
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14 You Tube: Contrasting Patterns of Content, Interaction, and Prominence |
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225 | (22) |
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15 Wike Networks: Connections of Creativity and Collaboration |
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247 | (26) |
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Appendix: NodeXL for Programmers |
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273 | (4) |
Index |
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277 | |
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 Marylands 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 Michigans School of Information where he was an NSF-funded interdisciplinary STIET Fellow focused on understanding and designing effective online socio-technical systems. Dr. Hansens 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 in the social organization of online communities and computer mediated interaction. He founded and managed the Community Technologies Group at Microsoft Research in Redmond, Washington and led the development of social media reporting and analysis tools for Telligent Systems. Smith leads the Connected Action consulting group and lives and works in Silicon Valley, California. He is a co-founder of the Social Media Research Foundation which is dedicated to Open Tools, Open Data, and Open Scholarship related to social media.
Smiths research focuses on computer-mediated collective action: the ways group dynamics change when they take place in and through social cyberspaces. Smiths goal is to visualize these social cyberspaces, mapping and measuring their structure, dynamics and life cycles. At Microsoft, he developed the Netscan web application and data mining engine that allows researchers studying Usenet newsgroups and related repositories of threaded conversations to get reports on the rates of posting, posters, crossposting, thread length and frequency distributions of activity. Smith applied this work to the development of a generalized community analysis platform for Telligent, providing a web based system for groups of all sizes to discuss and publish their material to the web and analyze the emergent trends that result. Dr. Smith is an adjunct faculty at the College of Information Studies at the University of Maryland and a Distinguished Visiting Scholar at the Media-X Program at Stanford University.