Part II: NodeXL tutorial: Learning by doing
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
- 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
- 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
- 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
Part II
NodeXL tutorial: Learning by doing
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