Analyzing Social Media Networks with NodeXL

Cover
ANALYZING SOCIAL MEDIA NETWORKS WITH NODEXL:  Insights from a Connected World
Copyright
Dedication
About the authors
Contributors
Preface
Acknowledgments
Part I Getting started with analyzing social media networks
1
Introduction to social media and social networks
	Introduction
	A historical perspective
	The rise of enterprise social media applications
	Individual contributions generate public wealth and risks
	Who should read this book
	Applying social media to national priorities
	Worldwide efforts
	Practitioner’s summary
	Researcher’s agenda
	References
	Additional resources
2
Social media: New technologies of collaboration
	Introduction
	Social media defined
	Social media design framework
		Size of producer and consumer population
		Pace of interaction
		Genre of basic elements
		Control of basic elements
		Types of connections
		Retention of content
	Social media examples
		Asynchronous threaded conversation
			Email
			Email lists, discussion forums, Reddit, Quora, and Q&A sites
		Synchronous conversation
			Chat, instant messaging, and texting
			Audio and video conferencing
		The World Wide Web
		Collaborative authoring
			Wikis
			Shared documents
		Blogs and podcasts
			Microblogs and activity streams
			Multimedia blogs, podcasts, and livestreams
		Social sharing
			Video and TV
			Photo, images, and art
			Music
			Bookmarks, news, and books
		Social networking services
			Social and dating
			Professional
			Niche networks
		Online markets and production
			Financial transactions
			User-generated products
			Review sites
		Idea generation
		Games and virtual worlds
			Virtual reality worlds
			Massively multiplayer games
		Mobile services
			Location and augmented reality apps and games
	Practitioner’s summary
	Researcher’s agenda
	References
	Additional resources
3
Social network analysis: Measuring, mapping, and modeling collections of connections
	Introduction
	The network perspective
		A simple Twitter network example
		Vertices
		Edges
		Network data representations
	Types of networks
		Egocentric, partial, and full networks
		Unimodal, multimodal, and affiliation networks
		Multiplex networks
	The network analysis research and practitioner landscape
	Network analysis metrics
		Aggregate network metrics
		Vertex-specific network metrics
			Degree centrality
			Betweenness centrality: Bridge scores for boundary spanners
			Closeness centrality: Distance scores for strategically located people
			Eigenvector and PageRank centrality: Influence scores for strategically connected people
			Clustering coefficient: How connected are my friends?
		Grouping, clustering, and community detection algorithms
		Structures, network motifs, and social roles
	Social networks in the era of abundant computation
	The era of abundant social networks: From the desktop to your hand
	Tools for network analysis
	Node-link diagrams: Visually mapping social networks
	Common network analysis questions applied to social media
	Practitioner’s summary
	Researcher’s agenda
	References
	Additional resources
Part II NodeXL tutorial: Learning by doing
4 Installation, orientation, and layout
	Introduction
	Downloading and installing NodeXL
	Getting started with NodeXL
		Opening a new NodeXL file
		NodeXL menu ribbon
		Spreadsheet and graph pane
		Manually entering data
		Importing data
		Showing the graph
		Highlighting an edge or vertex
		Resizing and moving the graph pane
	Layout: Arranging vertices in the graph pane
		Manual layout
		Automatic layout
		Adjusting Fruchterman-Reingold settings
		Updating the graph pane
		Preserving a layout
		Graph pane tools
		Graph pane options
	Undirected and directed graph type
		Changing the type of network
		Reciprocated edges
	Working with NodeXL files
		Saving NodeXL files
		Exporting an existing NodeXL file
		Opening an existing NodeXL file
		Opening a NodeXL file created on another computer
		Creating a trusted location for NodeXL files from the Internet
	Practitioner’s summary
	Researcher’s agenda
	References
	NodeXL papers
5
Labeling and visual attributes
	Introduction
	Labeling
		Viewing attribute data in the ABCD network file
		Labeling vertices
		Adding tooltips
		Formatting, positioning, and truncating labels using label options
		Label vertex shape
		Labeling edges
	Visual properties
		Vertex color
		Vertex shape
		Vertex size
		Vertex opacity
		Vertex visibility
		Edge visual properties
		Showing the graph legend
		Saving graph images and right-click graph menu
		Graph options
	Practitioner\'s summary
	Researcher’s agenda
	References
6
Calculating and visualizing network metrics
	Introduction
	ABCD network example
	Computing graph metrics
		Overall graph metrics
		Vertex-specific metrics
			Degree
			Betweenness centrality
			Closeness centrality
			Eigenvector centrality
			PageRank
			Clustering coefficient
	Marvel cinematic universe network example
		Visualizing and interpreting metrics in a bimodal network
		Mapping graph metrics to X and Y coordinates
	CSCW 2018 conference Twitter network example
		Calculating and interpreting directed network metrics
		Examining top items output
		Examining time series output
	Practitioner’s summary
	Researcher’s agenda
	References
7
Grouping and filtering
	Introduction
	U.S. Senate voting analysis
		Filtering edges to identify groups within a network
		Using dynamic filters
		Creating groups based on vertex attribute
	CSCW 2018 Twitter network analysis
		Filtering out self-loops using the edge visibility column
		Grouping and visualizing connected components
		Using dynamic filters to filter based on time
		Filtering based on vertex metrics and the visibility column
		Automatically identifying groups based on network clustering algorithms
		Group properties and metrics
		Group layout and labels
		Creating subgraph images
	Federal Communications Commission (FCC) lobbying coalition network
	Practitioner’s summary
	Researcher’s agenda
	References
	Additional resources
8
Semantic networks
	Introduction
	Creating the Twitter Gardasil HPV word pair network
		Calculate word and word pair metrics
		Iteratively refine the list of skipped words
		Creating a new word to word network file
	Analyzing word networks
		Examining vertex and edge metrics
		Examining data by groups
	Visualizing work networks
	Visualizing computing dissertation and thesis connections
	Practitioner’s summary
	Researcher’s agenda
	References
	Suggested reading
Part III Social media network analysis case studies
9
Email: The lifeblood of modern communication
	Introduction
	History and definition of email
	Email networks
	What questions can be answered by analyzing email networks?
		Personal email network questions
		Organizational email network questions
	Working with email data
		Preparing email
		Importing email networks into NodeXL
	Cleaning email data in NodeXL
		Remove duplicate email addresses for the same individual
		Count and merge duplicate edges
	Analyzing personal email networks
		Creating an email overview visualization
			Step 1: Import data into NodeXL
			Step 2: Clean data
			Step 3: Filter data
			Step 4: Compute graph metrics and add new columns
			Step 5: Visualize the email social network
			Step 6: Understand social network visualizations and metrics data
		Creating an expertise network email graph
			Step 1: Import email social network data into NodeXL
			Step 2: Clean data
			Step 3: Compute graph metrics and add new columns
			Step 4: Filter data
			Step 5: Visualize network
			Step 6: Understanding the network visualization and data
	Creating a living org-chart with an organizational email network
		TechABC\'s organizational unit email network
		Normalizing and filtering TechABC\'s data
		Creating an overview of TechABC\'s communication patterns
		Examining TechABC\'s research division
	Historical and legal analysis of Enron email
		Identifying key individuals using content networks
	Practitioner\'s summary
	Researcher\'s agenda
	References
10
Thread networks: Mapping message boards and email lists
	Introduction
	Definition and history of threaded conversation
	What questions can be asked
	Threaded conversation networks
	Identifying important people and social roles in the CSS-D Q&A reply network
	Understanding groups at Ravelry
	Practitioner\'s summary
	Researcher\'s agenda
	References
	Further reading
11
Twitter: Information flows, influencers, and organic communities
	Introduction
	Defining your topic-networks: Formulating a social media monitoring query
	Twitter data collection
	The raw data layout
	Network analysis
		Vertex-level metrics
			In and out degree centrality
			Betweenness centrality
			User reciprocity
		Network-level metrics
			Overall metrics
			Graph density
			Graph reciprocity
		Groups
	Visualization
		User-level visual properties
		Cluster-level layout and visual properties
	Analysis of content
	Share your work on the NodeXL graph gallery
	Practitioner\'s summary
	Researcher\'s agenda
	References
	Suggested reading
12
Facebook: Public pages and inter-organizational networks
	Introduction to Facebook: The social graph of 2 billion people
	Facebook networks
		Facebook API limits
	Organizational networks: Fan pages
		Preparing the data collection
		Data collection
		Getting to know the data
			The Edges Worksheet
			The Vertex Worksheet
		Network analysis
			Vertex-level analysis
			Cluster-level analysis
		Visualization
	Practitioner’s summary
	Researcher’s agenda
	References
	Suggested reading
13
YouTube: Exploring video networks
	Introduction
	What is YouTube?
	YouTube’s structure
		Videos
		The user channel
	Networks in YouTube
		Video networks
		Users’ networks
	Hubs, groups, and layers: What questions can social network analysis of YouTube answer?
		Video networks
		User networks
	Importing YouTube data into NodeXL
		Importing video data
		Importing user data
		Ethical considerations
		Problems with YouTube network data
	Preparing YouTube network data
	Analyzing YouTube networks
		User networks
		Video networks
		The YouTube “makeup” video network
	Practitioner’s summary
	Researcher’s agenda
	References
	Suggested reading
14
Wiki networks: Connections of culture and collaboration
	Introduction
	Key features of wiki systems
	Wiki networks from edit activity
		Wiki networks of general interest
	Using the NodeXL MediaWiki page network importer to access Wikipedia networks
	Understanding topics through page-to-page connections
		Data collection and processing
		Identifying key topics across Wikipedia language communities
	Analyzing the structure of discussion page interaction
		Mapping networks and identifying disputes within the English International Whaling Commission talk page
		Identifying productive members of a talk page community
	Choosing the right sample frame for your wiki research
	Practitioner’s summary
	Researcher’s agenda
	References
Index
	A
	B
	C
	D
	E
	F
	G
	H
	I
	J
	K
	L
	M
	N
	O
	P
	Q
	R
	S
	T
	U
	V
	W
	Y
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