Table of contents : Front cover......Page 1 Analyzing social media networks with NodeXL......Page 4 Copyright page......Page 5 Contents......Page 8 Preface......Page 10 Acknowledgments......Page 12 About the Authors......Page 14 Contributors......Page 16 PART I: GETTING STARTED WITH ANALYZING SOCIAL MEDIA NETWORKS......Page 18 1.2 A HISTORICAL PERSPECTIVE......Page 20 1.3 THE RISE OF SOCIAL MEDIA AS CONSUMER APPLICATIONS......Page 21 1.5 WHO SHOULD READ THIS BOOK......Page 22 1.6 APPLYING SOCIAL MEDIA TO NATIONAL PRIORITIES......Page 23 1.7 WORLDWIDE EFFORTS......Page 24 1.9 RESEARCHER’S AGENDA......Page 25 2.1 INTRODUCTION......Page 28 2.3 SOCIAL MEDIA DESIGN FRAMEWORK......Page 29 2.4 SOCIAL MEDIA EXAMPLES......Page 34 2.6 RESEARCHER’S AGENDA......Page 45 3.1 INTRODUCTION......Page 48 3.2 THE NETWORK PERSPECTIVE......Page 49 3.3 TYPES OF NETWORKS......Page 53 3.4 THE NETWORK ANALYSIS RESEARCH AND PRACTITIONER LANDSCAPE......Page 54 3.5 NETWORK ANALYSIS METRICS......Page 56 3.6 SOCIAL NETWORKS IN THE ERA OF ABUNDANT COMPUTATION......Page 61 3.7 THE ERA OF ABUNDANT SOCIAL NETWORKS: FROM THE DESKTOP TO YOUR POCKET......Page 63 3.10 COMMON NETWORK ANALYSIS QUESTIONS APPLIED TO SOCIAL MEDIA......Page 64 3.11 PRACTITIONER’S SUMMARY......Page 65 3.12 RESEARCHER’S AGENDA......Page 66 PART II: NODEXL TUTORIAL: LEARNING BY DOING......Page 68 4.1 INTRODUCTION......Page 70 4.3 GETTING STARTED WITH NODEXL......Page 71 4.4 LAYOUT: ARRANGING VERTICES IN THE GRAPH PANE......Page 74 4.5 VISUAL DESIGN: MAKING NETWORK DISPLAYS MEANINGFUL......Page 76 4.6 LABELING: ADDING TEXT LABELS TO VERTICES AND EDGES......Page 80 4.7 PRACTITIONER’S SUMMARY......Page 83 4.8 RESEARCHER’S AGENDA......Page 84 5.1 INTRODUCTION......Page 86 5.3 COMPUTING GRAPH METRICS......Page 87 5.4 LES MISÉRABLES CO-APPEARANCE NETWORK......Page 91 5.6 RESEARCHER’S AGENDA......Page 95 6.2 SERIOUS EATS NETWORK EXAMPLE......Page 96 6.3 FILTERING TO REDUCE CLUTTER AND REVEAL IMPORTANT FEATURES......Page 99 6.5 PRACTITIONER'S SUMMARY......Page 107 6.6 RESEARCHER'S AGENDA......Page 108 7.1 INTRODUCTION......Page 110 7.2 THE 2007 SENATE VOTING ANALYSIS......Page 111 7.3 LES MISÉRABLES CHARACTER CLUSTERS......Page 115 7.4 FEDERAL COMMUNICATIONS COMMISSION (FCC) LOBBYING COALITION NETWORK......Page 117 7.6 RESEARCHER’S AGENDA......Page 118 PART III: SOCIAL MEDIA NETWORK ANALYSIS CASE STUDIES......Page 120 8.1 INTRODUCTION......Page 122 8.2 HISTORY AND DEFINITION OF EMAIL......Page 123 8.3 EMAIL NETWORKS......Page 124 8.4 WHAT QUESTIONS CAN BE ANSWERED BY ANALYZING EMAIL NETWORKS?......Page 125 8.5 WORKING WITH EMAIL DATA......Page 127 8.6 CLEANING EMAIL DATA IN NODEXL......Page 130 8.7 ANALYZING PERSONAL EMAIL NETWORKS......Page 132 8.8 CREATING A LIVING ORG-CHART WITH AN ORGANIZATIONAL EMAIL NETWORK......Page 136 8.9 HISTORICAL AND LEGAL ANALYSIS OF ENRON EMAIL......Page 139 8.11 RESEARCHER’S AGENDA......Page 141 9.1 INTRODUCTION......Page 144 9.2 HISTORY AND DEFINITION OF THREADED CONVERSATION......Page 145 9.3 WHAT QUESTIONS CAN BE ASKED......Page 146 9.4 THREADED CONVERSATION NETWORKS......Page 147 9.5 ANALYZING A TECHNICAL SUPPORT EMAIL LIST: CCS-D......Page 149 9.6 FINDING A NEW COMMUNITY ADMINISTRATOR FOR THE ABC-D EMAIL LIST......Page 153 9.7 UNDERSTANDING GROUPS AT RAVELRY......Page 155 9.9 RESEARCHER’S AGENDA......Page 157 10.1 INTRODUCTION......Page 160 10.2 THE NUTS AND BOLTS OF TWITTER......Page 161 10.3 NETWORKS IN TWITTER......Page 166 10.4 ACQUIRING DATA......Page 169 10.5 DISCOVERY WITH TWITTER......Page 171 10.6 PRACTITIONER'S SUMMARY......Page 180 10.7 RESEARCHER’S AGENDA......Page 181 11.1 INTRODUCTION TO FACEBOOK: THE WORLD’S SOCIAL GRAPH......Page 182 11.2 THE HISTORY OF FACEBOOK......Page 183 11.4 WHAT KIND OF NETWORK IS A FACEBOOK FRIENDSHIP NETWORK?......Page 184 11.5 GETTING YOUR DATA INTO NODEXL......Page 185 11.6 CREATING A BASIC FACEBOOK VISUALIZATION......Page 187 11.7 ORDERED AND NONORDERED DATA AND ATTRIBUTES......Page 188 11.8 FRIEND WHEEL TO PINWHEEL: A FACEBOOK VISUALIZATION THE NODEXL WAY......Page 193 11.10 RESEARCHER’S AGENDA......Page 196 12.1 INTRODUCTION......Page 198 12.2 HYPERLINK NETWORKS......Page 199 12.3 THE VOSON DATA PROVIDER......Page 202 12.4 EXAMPLE 1: WHO LINKS TO MY ORGANIZATION’S WEB SITE?......Page 203 12.5 EXAMPLE 2: WHAT IS THE HYPERLINK NETWORK OF THIS FIELD/INDUSTRY/SECTOR?......Page 211 12.6 BLOGS, TEMPORAL CHANGES, AND NETWORK FLOW......Page 213 12.7 PRACTITIONER’S SUMMARY......Page 214 12.8 RESEARCHER’S AGENDA......Page 215 13.1 INTRODUCTION......Page 218 13.2 FLICKR SOCIAL MEDIA......Page 219 13.3 FLICKR NETWORKS......Page 224 13.4 WHAT QUESTIONS CAN BE ANSWERED BY ANALYZING FLICKR NETWORKS?......Page 226 13.5 IMPORTING FLICKR DATA INTO NODEXL......Page 227 13.7 ANALYZING FLICKR NETWORKS WITH NODEXL......Page 229 13.8 PRACTITIONER’S SUMMARY......Page 237 13.9 RESEARCHER’S AGENDA......Page 239 14.1 INTRODUCTION......Page 242 14.2 WHAT IS YOUTUBE?......Page 243 14.3 YOUTUBE’S STRUCTURE......Page 244 14.4 NETWORKS IN YOUTUBE......Page 246 14.5 HUBS, GROUPS, AND LAYERS: WHAT QUESTIONS CAN SOCIAL NETWORK ANALYSIS OF YOUTUBE ANSWER?......Page 247 14.6 IMPORTING YOUTUBE DATA INTO NODEXL......Page 248 14.7 PREPARING YOUTUBE NETWORK DATA......Page 250 14.8 ANALYZING YOUTUBE NETWORKS......Page 251 14.10 RESEARCHER’S AGENDA......Page 262 Chapter 15. Wiki Networks: Connections of Creativity and Collaboration......Page 264 15.1 INTRODUCTION......Page 265 15.2 KEY FEATURES OF WIKI SYSTEMS......Page 266 15.3 WIKI NETWORKS FROM EDIT ACTIVITY......Page 269 15.4 IDENTIFYING DIFFERENT TYPES OF EDITORS WITHIN A WIKI PROJECT......Page 270 15.5 NODEXL VISUALIZATION STRATEGIES FOR REVEALING DISTINCT USER TYPES......Page 273 15.6 IDENTIFYING HIGH-QUALITY CONTRIBUTORS IN ARTICLE TALK PAGES......Page 278 15.7 NAVIGATING LOSTPEDIA: USING NODEXL TO REVEAL THE LARGE-SCALE COLLABORATIVE STRUCTURE OF WIKI SYSTEMS......Page 281 15.9 PRACTITIONER’S SUMMARY......Page 286 15.10 RESEARCHER’S AGENDA......Page 287 A.1 IMPORTING CUSTOM GRAPH DATA......Page 290 A.2 CUSTOM GRAPHING APPLICATIONS......Page 291 C......Page 294 E......Page 295 F......Page 296 M......Page 297 P......Page 298 T......Page 299 W......Page 300 Z......Page 301