Social analytics: network and text methods with NodeXL and R
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Burlington, Vermont
Prospect Press
[2019]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xii, 287 Seiten Illustrationen, Diagramme, Karten |
| ISBN: | 9781943153596 |
Internformat
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Datensatz im Suchindex
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| adam_text | Contents Preface...........................................................................................................................................................vii Acknowledgments.........................................................................................................................................xi About the Author..........................................................................................................................................xii PARTI INTRODUCTION......................................................................................................................... 1 Chapter 1 What Is Social Analytics?................................................................................................................3 The Meaning of “Social”....................................................................................................................5 The Meaning of “Analytics”................................................... 7 Skills Required for Conducting Social Analytics.............................................................................8 What Can We Do with Social Analytics?........................................................................................9 The Focus of This Book..................................................................................................................П Works Cited..................................................................................................................................... П Chapter 2 Some Uses of Social
Analytics............................................................................................. 14 Social Analytics as a Listening Post................................................................................................ 14 Social Analytics for Understanding Social Groups.......................................................................16 Social Analytics for Benchmarking Organizational Strategies................................................... 17 Social Analytics for Managing Conflicts....................................................................................... 20 Conclusions.......................................................................................................................................25 Works Cited.................................................................................................................................... 26 PARTII SOCIAL NETWORK ANALYSIS......................................................................................................29 Chapter 3 Introduction to Social Network Analysis.................................................................................31 SNA Origins and Applications...................................................................................................... 31 Some Social Network Terms...........................................................................................................33 Factors Accounting for Connections..............................................................................................35 Types of Social
Networks............................................................................................................... 36 Setting Up Social Network Data.................................................................................................... 37 Visualizing Social Networks...........................................................................................................37 Visualizing Node and Tie Properties..............................................................................................42 Tutorial 3.1. Does Pedagogy Change a Class’s Network Structure?.......................................... 42 Social Network Metrics....................................................................................................................44· Generating Network Metrics with NodeXL................................................................................. 49
iv · Contents Tutorial 3.2. Who Are the Most Influential Students in My Class?......................................... 49 Tutorial 3.3. Whose Friending Do We Imitate?............................................................................51 Conclusion.......................................................................................................................................... 52 Works Cited......................................................................................................................................54 Chapter 4 Visualizing Networks and SNA with R.................................................................................... 56 SNA Packages....................................................................................................................................56 Opening, Preparing, and Inspecting SNA Data........................................................................... 56 Tutorial 4.1. Setting Up the Social Network of Legislative Bills................................................57 Graphing Networks...........................................................................................................................58 Tutorial 4.2. Visualizing the Social Network of Legislative Bills............................................... 60 Graph Metrics................................................................................................................................... 62 Ego
Metrics........................................................................................................................................62 Tutorial 4.3. Obtaining Metrics on the Legislative Bills Network..............................................62 Conclusion..........................................................................................................................................66 Works Cited..................................................................................................................................... 66 Chapter 5 Advanced SNA Concepts............................................................................................................. 68 What Is Subgroup Analysis?............................................................................................................69 Subgroup Metrics.............................................................................................................................70 Visualizing Subgroups...................................................................................................................... 70 Tutorial 5.1. What Explains the Fragmentation of Our Class Network?...................................71 Tutorial 5.2. How Do Students Tend to Aggregate?..................................................................... 72 Distributional Properties of Network Data....................................................................................74 Gathering Social Network
Data..................................................................................................... 76 Tutorial 5.3. Benchmarking BSchool Reciprocity on Twitter...................................................... 81 Conclusion......................................................................................................................................... 81 Works Cited..................................................................................................................................... 83 Chapter 6 Subgroup Analysis with R...........................................................................................................84 Subgroup Analysis Packages........................................................................................................... 84 Identifying Subgroups...................................................................................................................... 84 Visualizing Communities................................................................................................................85 Community Metrics........................................................................................................................85 Tutorial 6.1. Understanding Communities in the Legislative Bills..............................................87 Conclusion......................................................................................................................................... 91 Works Cited
..................................................................................................................................... 92 PARTIU TEXT ANALYSIS AND MINING.................................................................................................. 93 Chapter 7 Introduction to Text Analysis.......................................................................................................94 Origins and Applications of Text Analysis.................................................................................... 94 Vocabulary and Concepts................................................................................................................ ց5
Contents · v Word Count-Based Approaches....................................................................................................97 Tutorial 7.1. What Are the Key Terms in Talks about the Presidency?.................................... 99 Dictionary-Based Approaches......................................................................................................100 Text Analysis with LIWC............................................................................................................ 102 Tutorial 7.2. Talking about Delta Flight Delays........ ............................................................... 105 Tutorial 7.3. What Drives the Presidency Tweets?....................................................................107 Conclusion.....................................................................................................................................115 Works Cited.................................................................................................................................116 Chapter 8 Basic Text Analytics with R................................................................................................... 118 Text Analysis Packages................................................................................................................ 118 Text Data Objects in R................................................................................................................ 118 Text Preprocessing in
R................................................................................................................ 120 Word Frequency and Weighted Word Frequency......................................................................122 Tutorial 8.1. Surfacing the Content of the WherelsRey Tweets.............................................123 Tutorial 8.2. What Do the Biggest Five Casinos Tweet?........................................................... 127 Word Clouds: Simple, Pictorial, and Comparison......................................................................130 Sentiment Analysis.......................................................................................................................135 Tutorial 8.3. Visualizing the #WhereIsRey Conversation......................................................... 136 Conclusion................................................ 145 Works Cited................................................................................................................................. 145 Chapter 9 An Introduction to Text Mining...............................................................................................146 Text Mining Tasks.........................................................................................................................147 Text Mining Methods...................................................................................................................150 Tutorial 9.1. Sentiment Analysis of Movie Tweets via Machine Learning................................155 Tutorial 9.2. Sentiment
Analysis via Machine Learning and LIWC........................................ 162 Conclusion..................................................................................................................................... 163 Works Cited................................................................................................................................. 165 Chapter 10 Information Extraction with R.................................................................................................166 Information Extraction Packages..................................................................................................167 Information Extraction with Natural Language Processing.....................................................167 Named Entity Recognition.......................................................................................................... 158 Tutorial 10.1. People Named in the Black Panther Conversation.............................................. 172 Part-of-Speech Tagging.................................................................................................................175 Conclusion......................................................................................................................................178 Works Cited................................................................................................................................. 179 Chapter 11 Association Mining with R........................................................................................................181 Packages
Relevant to Association Mining................................................................................... 181 Word-Pair Analysis....................................................................................................................... 182 Tutorial 11.1. Understanding the Different Meanings of Aadhaar.......................................... 182
vi · Contents Overview of Topic Modeling Approaches...................................................................................185 Topic Modeling via Cluster Analysis of Terms.........................................................................186 Topic Modeling via Latent Dirichlet Allocation...................................................................... 188 Topic Modeling via Social Network Analysis of Terms............................................................. 191 Tutorial 11.2. Surfacing Aadhaar Topics and Constituents’Contributions...........................................................................................................194 Topic Modeling via Relational Class Analysis of Terms............................................................196 Conclusion.......................................................................................................................................200 Works Cited.................................................................................................................................. 201 PART IV CONCLUSION..................................................................................................................................203 Chapter 12 Ethical Social Analytics............................................................................................................ 204 What Data Do We (Not) Collect/Use?....................................................................................... 205 We’ve Collected the Data—Now How Can We Analyze
It?................................................. 207 What Should We Not Do with Insights Gleaned?.................................................................... 208 Conclusions.................................................................................................................................... 208 Works Cited.................................................................................................................................. 209 PART V APPENDICES................................................................................................................................... 213 Appendix A Introduction to R..........................................................................................................................214 Interfacing with R..........................................................................................................................215 Understanding and Working with R Data Objects and Structures.......................................... 215 Working with Dates..................................................................................................................... 219 Loading Data from External Files andOther Data Sources...................................................... 220 Exporting Data and Outputs from R......................................................................................... 222 Tutorial А.1. Working with Data Files.......................................................................................222 Performing Rudimentary R
Programming................................................................................ 225 Working with Packages.................................................................................................................227 Reorganizing and Restructuring Data......................................................................................... 227 Managing Memory and Outputs................................................................................................229 Getting Help.................................................................................................................................. 230 Works Cited.................................................................................................................................. 230 Appendix В Statistical Analysis with R........................................................................................................231 Statistical Analysis Packages........................................................................................................ 231 Handling Missing Values.............................................................................................................231 Performing Simple and Conditional Computations..................................................................232 Conducting Simple Exploratory Data Analysis.......................................................................... 232 Generating Graphical Displays.................................................................................................... 235 Performing Correlation
Analysis..................................................................................................238 Running T-Tests............................................................................................................................240
Contents · vii Running Analysis of Variance and Ordinary Least Squares Regression..................................241 Tutorial B.l. Analyzing the Amountof Buzz about Two IT Innovations.................................. 245 Works Cited......................................................................................................................................... 258 Appendix C Scraping Twitter with R................................................................................................................. 259 Packages Relevant to Harvesting Tweets......................................................................................... 259 Working with APIs.............................................................................................................................. 259 Getting Your Twitter AuthorizationCredentials.............................................................................260 Using the Twitter Search API............................................................................................................260 Using the Twitter Streaming API.....................................................................................................263 Appendix D Scraping Facebook with R............................................................................................................ 266 Packages Relevant to Harvesting Facebook Posts......................................................................... 266 Facebook
Objects................................................................................................................................ 266 Getting a Facebook Access Token.....................................................................................................267 Obtaining Facebook Profile Information....................................................................................... 268 Obtaining Facebook Page Information............................................................................................269 Works Cited......................................................................................................................................... 270 Appendix E Advanced Visualization in R....................................................................................................... 271 Visualization Packages............................................................................... 271 Advanced Graphing............................................................................................................................271 Creating Figure 8.13 (Chapter 8).....................................................................................................273 Creating Figure 8.14 (Chapter 8).....................................................................................................274 Mapping Geocoded Data...................................................................................................................275 Works
Cited......................................................................................................................................... 277 Appendix F Additional R Resources..................................................................... 278 Index.............................................................................................................................................................................. 279
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| spelling | Miranda, Shaila Verfasser (DE-588)1213353831 aut Social analytics network and text methods with NodeXL and R Shaila Miranda Burlington, Vermont Prospect Press [2019] © 2019 xii, 287 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier R Programm (DE-588)4705956-4 gnd rswk-swf Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd rswk-swf Textanalyse (DE-588)4194196-2 gnd rswk-swf Text Mining (DE-588)4728093-1 gnd rswk-swf Netzwerkanalyse Soziologie (DE-588)4205975-6 s Textanalyse (DE-588)4194196-2 s Text Mining (DE-588)4728093-1 s R Programm (DE-588)4705956-4 s DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031840734&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Miranda, Shaila Social analytics network and text methods with NodeXL and R R Programm (DE-588)4705956-4 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Textanalyse (DE-588)4194196-2 gnd Text Mining (DE-588)4728093-1 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4205975-6 (DE-588)4194196-2 (DE-588)4728093-1 |
| title | Social analytics network and text methods with NodeXL and R |
| title_auth | Social analytics network and text methods with NodeXL and R |
| title_exact_search | Social analytics network and text methods with NodeXL and R |
| title_full | Social analytics network and text methods with NodeXL and R Shaila Miranda |
| title_fullStr | Social analytics network and text methods with NodeXL and R Shaila Miranda |
| title_full_unstemmed | Social analytics network and text methods with NodeXL and R Shaila Miranda |
| title_short | Social analytics |
| title_sort | social analytics network and text methods with nodexl and r |
| title_sub | network and text methods with NodeXL and R |
| topic | R Programm (DE-588)4705956-4 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Textanalyse (DE-588)4194196-2 gnd Text Mining (DE-588)4728093-1 gnd |
| topic_facet | R Programm Netzwerkanalyse Soziologie Textanalyse Text Mining |
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