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Analyzing Social Media Networks with NodeXL: Insights from a Connected World
Authors: Derek Hansen Ph.D. University of Michigan - Ben Shneiderman Ph.D. SUNY at Stony Brook - Marc A. Smith Ph.D. UCLA Los Angeles CA - Itai Himelboim Ph.D. - School of Journalism and Mass Communication University of Minnesota
ISBN-10 书号: 012817756X
ISBN-13 书号: 9780128177563
Edition 版本: 2
Released: 2019-07-02
pages 页数: 248 pages
Book Description
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.
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
Contributors
Preface
Acknowledgments
Partl: Getting started with analyzing social media networks
Introduction
Chapter 1: Introduction to social media and social networks
Chapter 2: Social media: New technologies of collaboration
Chapter 3: Social network analysis: Measuring,mapping,and modeling collections of connections
Part lI: NodeXL tutorial: Learning by doing
Introduction
Chapter 4: Installation,orientation,and layout
Chapter 5: Labeling and visual attributes
Chapter 6: . Calculating and visualizing network metrics
Chapter 7: Grouping and filtering
Chapter 8: Semantic networks
Part ll: Social media network analysis case studies
Introduction
Chapter 9: Email: The lifeblood of modern communication
Chapter 10: Thread networks: Mapping message boards and email lists
Chapter 11: Twitter. Information flows,influencers,and organic communities
Chapter 12: Facebook: Public pages and inter-organizational networks
Chapter 13: YouTube: Exploring video networks
Chapter 14: Wiki networks: Connections of culture and collaboration
Index
