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by Itai Himelboim, Marc A. Smith, Ben Shneiderman, Derek Hansen
Analyzing Social Media Networks with NodeXL, 2nd Edition
Cover image
Title page
Table of Contents
Copyright
Dedication
About the Authors
Contributors
Preface
Acknowledgments
Part I: Getting started with analyzing social media networks
Introduction
Chapter 1: Introduction to social media and social networks
Abstract
1.1 Introduction
1.2 A historical perspective
1.3 The rise of enterprise social media applications
1.4 Individual contributions generate public wealth and risks
1.5 Who should read this book
1.6 Applying social media to national priorities
1.7 Worldwide efforts
1.8 Practitioner’s summary
1.9 Researcher’s agenda
Chapter 2: Social media: New technologies of collaboration
Abstract
2.1 Introduction
2.2 Social media defined
2.3 Social media design framework
2.4 Social media examples
2.5 Practitioner’s summary
2.6 Researcher’s agenda
Chapter 3: Social network analysis: Measuring, mapping, and modeling collections of connections
Abstract
3.1 Introduction
3.2 The network perspective
3.3 Types of networks
3.4 The network analysis research and practitioner landscape
3.5 Network analysis metrics
3.6 Social networks in the era of abundant computation
3.7 The era of abundant social networks: From the desktop to your hand
3.8 Tools for network analysis
3.9 Node-link diagrams: Visually mapping social networks
3.10 Common network analysis questions applied to social media
3.11 Practitioner’s summary
3.12 Researcher’s agenda
Part II: NodeXL tutorial: Learning by doing
Introduction
Chapter 4: Installation, orientation, and layout
Abstract
4.1 Introduction
4.2 Downloading and installing NodeXL
4.3 Getting started with NodeXL
4.4 Layout: Arranging vertices in the graph pane
4.5 Undirected and directed graph type
4.6 Working with NodeXL files
4.7 Practitioner’s summary
4.8 Researcher’s agenda
Chapter 5: Labeling and visual attributes
Abstract
5.1 Introduction
5.2 Labeling
5.3 Visual properties
5.4 Practitioner's summary
5.5 Researcher’s agenda
Chapter 6: Calculating and visualizing network metrics
Abstract
6.1 Introduction
6.2 ABCD network example
6.3 Computing graph metrics
6.4 Marvel cinematic universe network example
6.5 CSCW 2018 conference Twitter network example
6.6 Practitioner’s summary
6.7 Researcher’s agenda
Chapter 7: Grouping and filtering
Abstract
7.1 Introduction
7.2 U.S. Senate voting analysis
7.3 CSCW 2018 Twitter network analysis
7.4 Federal Communications Commission (FCC) lobbying coalition network
7.5 Practitioner’s summary
7.6 Researcher’s agenda
Chapter 8: Semantic networks
Abstract
8.1 Introduction
8.2 Creating the Twitter Gardasil HPV word pair network
8.3 Analyzing word networks
8.4 Visualizing work networks
8.5 Visualizing computing dissertation and thesis connections
8.6 Practitioner’s summary
8.7 Researcher’s agenda
Part III: Social media network analysis case studies
Introduction
Chapter 9: Email: The lifeblood of modern communication
Abstract
9.1 Introduction
9.2 History and definition of email
9.3 Email networks
9.4 What questions can be answered by analyzing email networks?
9.5 Working with email data
9.6 Cleaning email data in NodeXL
9.7 Analyzing personal email networks
9.8 Creating a living org-chart with an organizational email network
9.9 Historical and legal analysis of Enron email
9.10 Practitioner's summary
9.11 Researcher's agenda
Chapter 10: Thread networks: Mapping message boards and email lists
Abstract
10.1 Introduction
10.2 Definition and history of threaded conversation
10.3 What questions can be asked
10.4 Threaded conversation networks
10.5 Identifying important people and social roles in the CSS-D Q&A reply network
10.6 Understanding groups at Ravelry
10.7 Practitioner's summary
10.8 Researcher's agenda
Chapter 11: Twitter: Information flows, influencers, and organic communities
Abstract
11.1 Introduction
11.2 Defining your topic-networks: Formulating a social media monitoring query
11.3 Twitter data collection
11.4 The raw data layout
11.5 Network analysis
11.6 Visualization
11.7 Analysis of content
11.8 Share your work on the NodeXL graph gallery
11.9 Practitioner's summary
11.10 Researcher's agenda
Chapter 12: Facebook: Public pages and inter-organizational networks
Abstract
12.1 Introduction to Facebook: The social graph of 2 billion people
12.2 Facebook networks
12.3 Organizational networks: Fan pages
12.4 Practitioner’s summary
12.5 Researcher’s agenda
Chapter 13: YouTube: Exploring video networks
Abstract
13.1 Introduction
13.2 What is YouTube?
13.3 YouTube’s structure
13.4 Networks in YouTube
13.5 Hubs, groups, and layers: What questions can social network analysis of YouTube answer?
13.6 Importing YouTube data into NodeXL
13.7 Preparing YouTube network data
13.8 Analyzing YouTube networks
13.9 Practitioner’s summary
13.10 Researcher’s agenda
Chapter 14: Wiki networks: Connections of culture and collaboration
Abstract
14.1 Introduction
14.2 Key features of wiki systems
14.3 Wiki networks from edit activity
14.4 Using the NodeXL MediaWiki page network importer to access Wikipedia networks
14.5 Understanding topics through page-to-page connections
14.6 Analyzing the structure of discussion page interaction
14.7 Choosing the right sample frame for your wiki research
14.8 Practitioner’s summary
14.9 Researcher’s agenda
Index
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