Analyzing Social Media Networks with Node: XL. Insights from a Connected World

Cover Page\r......Page 1
Front-matter......Page 3
Copyright......Page 4
Dedication......Page 5
Preface......Page 6
Acknowledgments......Page 7
About the Authors......Page 8
Contributors......Page 10
Getting started with analyzing social media networks......Page 11
A historical perspective......Page 12
The rise of social media as consumer applications......Page 13
Who should read this book......Page 14
Applying social media to national priorities......Page 15
Worldwide efforts......Page 16
Researcher’s agenda......Page 17
References......Page 18
Introduction......Page 19
Social Media Design Framework......Page 20
Size of Producer and Consumer Population......Page 21
Pace of Interaction......Page 22
Control of Basic Elements......Page 23
Types of Connections......Page 24
Social Media Examples......Page 25
From Bulletin Board Systems (BBS) to Discussion Forums......Page 27
Instant Messaging......Page 28
World Wide Web......Page 29
Blogs and Podcasts......Page 30
Social Sharing......Page 31
Social Networking Services......Page 32
Financial Transaction......Page 33
Virtual Reality Worlds......Page 34
Location Sharing, Annotation, and Games......Page 35
References......Page 36
Introduction......Page 38
The network perspective......Page 39
A Simple Twitter Network Example......Page 40
Network Data Representations......Page 41
Unimodal, Multimodal, and Affiliation Networks......Page 43
The network analysis research and practitioner landscape......Page 44
Network analysis metrics......Page 46
Closeness Centrality: Distance Scores for Broadly Connected People......Page 47
Structures, Network Motifs, and Social Roles......Page 48
Social networks in the era of abundant computation......Page 51
The era of abundant social networks: from the desktop to your pocket......Page 53
Common network analysis questions applied to social media......Page 54
Practitioner’s summary......Page 55
References and Resources......Page 56
NodeXL Tutorial\rLearning by Doing......Page 58
Introduction......Page 59
Highlighting an Edge......Page 60
Importing an Edge List......Page 61
Directed Graph Type......Page 63
Vertex Colors......Page 65
Adding Descriptive Data......Page 66
Autofilling Columns......Page 67
Adding Vertex Labels......Page 69
Adding Labels as the Shape......Page 70
Adding Edge Labels......Page 71
Practitioner’s summary......Page 72
References......Page 73
Introduction......Page 74
Computing graph metrics......Page 75
Vertex-Specific Metrics......Page 76
Clustering Coefficient......Page 77
Overall Graph Metrics......Page 78
Sorting the Edge Weight Column......Page 79
Calculating and Visualizing Vertex Metrics to Find Important Individuals......Page 80
Mapping Graph Metrics to X and Y Coordinates......Page 82
References......Page 83
Serious eats network example......Page 84
Working with Multimodal Network Data......Page 85
Auto-Filling Data Columns......Page 86
Filtering to reduce clutter and reveal important features......Page 87
Dynamic Filters......Page 89
Filtering by Controlling Visibility with Autofill Columns......Page 92
Creating Subgraph Images with NodeXL......Page 93
Practitioner’S summary......Page 95
References......Page 96
Introduction......Page 97
Filtering Edges to Identify Groups within a Network......Page 98
Automatically Identifying Clusters......Page 99
Creating Clusters Manually......Page 101
Les Misérables Character Clusters......Page 102
Federal Communications Commission (FCC) Lobbying Coalition Network......Page 104
References......Page 105
Social Media Network Analysis Case Studies......Page 107
Introduction......Page 108
History and definition of email......Page 109
Email networks......Page 110
What questions can be answered by analyzing email networks?......Page 111
Organizational Email Network Questions......Page 112
Preparing Email......Page 113
Importing Email Networks into NodeXL......Page 114
Remove Duplicate Email Addresses for the Same Individual......Page 116
Merge Duplicate Edges......Page 117
Step 3: Filter Data......Page 118
Step 6: Understand Social Network Visualizations and Metrics Data......Page 119
Step 5: Visualize Network......Page 121
Normalizing and Filtering TechABC’s Data......Page 122
Creating an Overview of TechABC’s Communication Patterns......Page 123
Examining TechABC’s Research Division......Page 124
Identifying Key Individuals Using Content Networks......Page 125
References......Page 127
Introduction......Page 129
History and definition of threaded conversation......Page 130
What questions can be asked......Page 131
Threaded conversation networks......Page 132
Preparing Email List Network Data......Page 134
Identifying Important People and Social Roles at CSS-D......Page 135
Finding a new community administrator for the ABC-D email list......Page 138
Understanding groups at ravelry......Page 140
Researcher’s agenda......Page 142
References......Page 143
Introduction......Page 144
The nuts and bolts of twitter......Page 145
@replies and @mentions......Page 147
#hashtags......Page 148
Retweeting......Page 149
Friends, Followers, Information, and Attention......Page 150
Information, Advantage, and Betweenness Centrality......Page 151
Retweets, #hashtags, and the Diffusion of Information......Page 152
Acquiring data......Page 153
The Ego Network......Page 155
A Trending Topic......Page 159
Practitioner’s summary......Page 164
References......Page 165
Introduction to facebook: the world’s social graph......Page 166
The history of facebook......Page 167
What kind of network is a facebook friendship network?......Page 168
Getting your data into nodexl......Page 169
That Networky Look......Page 171
Visualizing Nonordered Data: Clusters and Categories......Page 172
Betweenness......Page 175
Friend wheel to pinwheel: a facebook visualization the nodexl way......Page 177
References......Page 180
Introduction......Page 181
Theory of Hyperlinking......Page 182
Methodological Issues......Page 183
The VOSON data provider......Page 185
Preliminaries......Page 186
Constructing Your Own Hyperlink Network Using the VOSON Data Provider......Page 187
example 2: What is the hyperlink network of this field/industry/sector?......Page 194
Blogs, temporal changes, and network flow......Page 196
Practitioner’s summary......Page 197
References......Page 198
Introduction......Page 200
Flickr Sets, Collections, and Tags......Page 201
Flickr Groups......Page 203
Sharing and Social Interaction......Page 205
Flickr networks......Page 206
Tag Networks......Page 207
E-commerce......Page 208
Related Tags Network......Page 209
Flickr User Networks......Page 210
Analyzing Flickr networks with NodeXL......Page 211
Step 2. Prepare Data......Page 212
Step 5. Interpreting the Visualizations......Page 213
Step 3. Interpreting the Visualizations......Page 214
Flickr User Networks......Page 215
Step 2. Prepare Data and Create New Columns......Page 216
Step 6. Visualize the Scatter Graph of Self versus Others’ Comments......Page 218
Practitioner’s summary......Page 219
Manual and Multiple Layouts......Page 220
Integration......Page 221
References......Page 222
Introduction......Page 223
What is youtube?......Page 224
Videos......Page 225
Video Networks......Page 227
Video Network......Page 228
Importing Video Data......Page 229
Importing User Data......Page 230
Preparing youtube network data......Page 231
User Networks......Page 232
The YouTube “Makeup” Video Network......Page 236
Healthcare Reform YouTube Video Networks......Page 241
References......Page 243
Wiki Networks......Page 245
Introduction......Page 246
Key features of wiki systems......Page 247
Wiki networks from edit activity......Page 250
Identifying different types of editors within a wiki project......Page 251
Defining Edges and Attributes in Wiki Social Networks......Page 252
Wiki Network Data Collection......Page 253
Making Top Wiki Editors Stand Out by Visually Formatting the Network Graph......Page 254
Interpreting Wiki Network Graphs for Evidence of Distinctive Social Roles......Page 255
Using Subgraph Images to Distinguish between User Types......Page 257
Identifying high-quality contributors in article talk pages......Page 259
Searching for Structural Signatures of Confrontation and Deliberation in Wiki Article Talk Page Networks......Page 260
Creating an Overview Network Map of Lostpedia Content in NodeXL......Page 262
Creating an Overview Map of Lostpedia Users......Page 264
Normalizing Data to Infer Stronger Connections......Page 266
Practitioner’s summary......Page 267
References......Page 268
NodeXL for Programmers......Page 270
Index......Page 273