Sociometrics and human relationships - analyzing social networks to manage

Front Cover......Page 1
Sociometrics and Human Relationships......Page 4
Copyright Page......Page 5
Contents......Page 6
Acknowledgments......Page 12
1 Introduction......Page 16
1.1.1. Part I — Trend Prediction by Analyzing Social Networks......Page 21
1.1.2. Part II — Analyzing Structure, Dynamics, and Content of Networks with Condor......Page 24
1.1.3. Part III — Automatic Media Insights COIN Assessment (AMICA)......Page 28
1.1.4. Part IV — Appendix — Useful Machine Learning and Graph Analysis Tools......Page 29
1.2. Key Takeaways of This Book......Page 30
1.3. Study Plan for a One-Semester Course......Page 33
1.4. Sample Course Syllabus......Page 35
Part I. Trend Prediction by Measuring Social Networks......Page 40
2 Coolfarming Organizations......Page 42
2.1. Knowledge Flow Optimization through Organizational Social Network Analysis......Page 44
2.2. The Coolfarming Data Collection and Analysis Process......Page 46
2.2.1. Assessing the Organization’s Communication Patterns......Page 47
2.2.2. Benchmarking the Organization’s Communication Patterns against Those Seen in Other Organizations......Page 48
2.2.4. Virtual Mirroring......Page 49
3.1. Measuring Collective Awareness......Page 52
3.2. The Coolhunting Process — Finding Trends by Finding Trendsetter......Page 54
4 The Six Honest Signals of Collaboration......Page 60
4.1. The Honest Signals Have Different Meanings for Different Organizations......Page 69
4.3. Dealing with Privacy Concerns......Page 71
4.4. How to Apply Knowledge Flow Optimization......Page 73
4.5. Four Examples......Page 76
4.6. Areas of E-Mail-Based SNA......Page 79
4.7. Improving Financial Capital through Optimizing Social Capital......Page 80
5 Essentials of Social Network Analysis and Statistics......Page 84
5.1. Basics of Social Network Analysis (SNA)......Page 85
5.2. Basics of Statistics......Page 90
6 How Ideas Spread in Online Social Networks — Readings......Page 100
6.1. Theories of Information Diffusion......Page 104
6.2. Spreading Ideas on Facebook......Page 110
6.3. Finding Fake Reviews through Machine Learning......Page 111
6.4. Measuring Financial Performance......Page 112
6.5. Calculating Demographic Information......Page 114
6.6. Predicting Election Outcome......Page 118
Part II. Analyzing Structure, Dynamics, and Content of Networks with Condor......Page 122
7 The Four-Step Analysis Process......Page 126
7.1. Social Media Fetchers......Page 130
7.3. Social Media Visualizers......Page 131
7.4. Social Media Exporters......Page 133
8 Getting Started with Condor......Page 136
8.1. Analyzing the Facebook Wall with Condor......Page 140
8.2.1. Step 1 — Fetch Data......Page 145
8.2.2. Step 2 — Process......Page 147
8.2.3. Step 3 — Visualize......Page 148
8.2.4. Step 4 — Export......Page 149
8.3. Measuring the Importance of Brands through Betweenness of Actors in Bipartite Graphs......Page 151
8.4. Pruning the Leaves in a Graph......Page 152
8.5. Degree-of-Separation Search with Google CSE......Page 156
8.6. Degree-of-Separation Search with Twitter......Page 161
8.7. Wikipedia Search......Page 165
9 Analyzing E-Mail with Condor......Page 168
9.1. Creating a Virtual Mirror of Your Own Mailbox......Page 169
9.1.1. Drawing the Term Graph......Page 187
9.1.2. Removing the Mailbox Owner......Page 189
9.2. Finding COINs through Community Detection......Page 200
9.3. Creating a Virtual Mirror of an Organization......Page 207
9.4. Analyzing Hillary Clinton’s Mail......Page 234
9.5. Organizational Aspects of E-Mail-Based SNA......Page 243
9.7. (Partial) List of E-Mail Studies Conducted by the Author in Various Organizations......Page 247
10 Calculating Personality Characteristics from E-Mail......Page 256
10.1. Calculating Correlations between FFI and E-Mail......Page 257
10.2. Developing a General Prediction Formula......Page 259
10.2.1. Neuroticism......Page 264
10.2.4. Agreeability......Page 265
10.2.5. Conscientiousness......Page 268
10.3. Adding Gender, Ethnicity, and Nationality as Control Variables......Page 269
10.3.1. Extroversion......Page 273
10.3.2. Agreeability......Page 274
10.4. Follow-on Exercises......Page 275
11 Predicting Criminal Intent from E-Mail — Analyzing the Enron E-Mail Archive......Page 278
11.1. Exploratory Analysis......Page 279
11.2. Identifying Criminal Actors through Their Honest Signals of Collaboration......Page 288
11.3. “Tribefinder” — Identifying Criminals through Machine Learning in Condor......Page 295
11.4. Follow-on Exercises......Page 306
12 Coolhunting on the Internet with Condor......Page 310
12.1. Expert Analysis — Websites and Blogs......Page 313
12.2. Swarm Analysis — Wikipedia......Page 326
12.3. Analysis of the Crowd — Twitter......Page 337
12.4. Follow-on Exercises......Page 349
12.5. (Partial) List of Internet Coolhunting Studies......Page 350
13 Coolhunting — Francogeddon......Page 354
13.1. Follow-on Exercises......Page 362
14 Coolhunting the US Presidential Elections......Page 364
14.1. Bernie Sander’s Presidential Campaign — The Perfect COIN......Page 368
14.2. Coolhunting Bernie Sanders, Hillary Clinton, Jeb Bush, and Donald Trump......Page 371
14.3. Tribefinder on Twitter (Using Machine Learning)......Page 381
14.4. Follow-on Exercises......Page 398
Part III. Automatic Media Insights COIN Assessment (AMICA)......Page 400
15 Inside Media Individual Collaboration (IMIC)......Page 406
15.1. IMIC Annotation Process......Page 416
16 Outside Media Individual Collaboration (OMIC)......Page 420
16.1. OMIC Annotation Process......Page 429
17 Inside Media Organizational Collaboration (IMOC)......Page 434
17.1. IMOC Annotation Process......Page 438
18 Outside Media Organizational Collaboration (OMOC)......Page 440
18.1. OMOC Annotation Process......Page 444
18.2. Follow-on Exercises......Page 445
19.1. Survey of Individual Collaboration (SIC)......Page 446
19.1.1. Individual Motivation......Page 447
19.1.2. Organizational Motivation......Page 448
19.1.3. Transparency......Page 449
19.1.4. Fairness......Page 450
19.1.5. Trust/Honesty......Page 451
19.1.6. Forgiveness......Page 452
19.1.7. Empathy/Listening......Page 453
19.2. Survey of Organizational Collaboration (SOC)......Page 454
19.2.1. Collective Consciousness......Page 455
19.2.2. Leadership......Page 456
19.2.3. Contribution/Sharing......Page 457
19.2.4. Responsiveness/Respect......Page 458
19.3. Sample Download......Page 459
Part IV. Appendix — Useful Machine Learning and Graph Analysis Tools......Page 460
Appendix A: Identifying Anti-Vaxxers through Machine Learning Using KNIME......Page 462
Appendix B: Generating Nice Graph Pictures with Gephi......Page 474
Appendix C: Sample Mid-Term Exam......Page 480
Appendix D: References......Page 484
Biography......Page 498
Index......Page 500