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Contents      Tokyo City University   Systems Information Engineering   2
Research Background ~Consumer Side~                              Figure 1: Changes in the users of SM in Japan (10 - 11)  ...
Research Background ~Company side~      Tokyo City University   Systems Information Engineering   4
Purpose of this Research      Tokyo City University   Systems Information Engineering   5
Result of Analysis ~Similarity of SM~       Tokyo City University   Systems Information Engineering   6
Labeling the SM Types      Tokyo City University   Systems Information Engineering   7
Behavior of the Recipient Information      Tokyo City University   Systems Information Engineering   8
Behavior of the Recipient Information      Tokyo City University   Systems Information Engineering   9
Analysis of the Facebook pages       Tokyo City University   Systems Information Engineering   10
Set the Probability HierarchyTransition      Tokyo City University   Systems Information Engineering   11
Set the Probability HierarchyTransition      Tokyo City University   Systems Information Engineering   12
Set the Probability HierarchyTransition      Tokyo City University   Systems Information Engineering   13
Set the Probability HierarchyTransition      Tokyo City University   Systems Information Engineering   14
Set the Probability HierarchyTransition      Tokyo City University   Systems Information Engineering   15
Statistical Test about Linguistic &Nonlinguistic Info        Tokyo City University   Systems Information Engineering   16
Extraction of Keywords promptingbehavior       Tokyo City University   Systems Information Engineering   17
Assumption Output ~Using SEM analysis~       Tokyo City University   Systems Information Engineering   18
Conclusion      Tokyo City University   Systems Information Engineering   19
Future tasks      Tokyo City University   Systems Information Engineering   20
References      Tokyo City University   Systems Information Engineering   21
Questions & Answers  I’m happy to answer your questions!       Tokyo City University   Systems Information Engineering   22
Definition about the SM and SNS      Tokyo City University   Systems Information Engineering   23
Definition about the VIRAL & Ex.                                                                      Empathy!            ...
Companies Purposes of the SM      Tokyo City University   Systems Information Engineering   25
Changes of the SNS by the trend      Tokyo City University   Systems Information Engineering   26
Variation in the number of samples      Tokyo City University   Systems Information Engineering   27
Details of the Probability TransitionHierarchy       Tokyo City University   Systems Information Engineering   28
Concrete data used in correspondenceanalysis       Tokyo City University   Systems Information Engineering   29
Result of Morphological Analysis       Tokyo City University   Systems Information Engineering   30
Assumption Output ~ Concern about Ties ~       Tokyo City University   Systems Information Engineering   31
Novelty & Usefulness of Research      Tokyo City University   Systems Information Engineering   32
About Morphological Analysis      Tokyo City University   Systems Information Engineering   33
The proposal of the viral model of information which is considering social media interactivity
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The proposal of the viral model of information which is considering social media interactivity

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The proposal of the viral model of information which is considering social media interactivity

  1. 1. Contents Tokyo City University Systems Information Engineering 2
  2. 2. Research Background ~Consumer Side~ Figure 1: Changes in the users of SM in Japan (10 - 11) Tokyo City University Systems Information Engineering 3
  3. 3. Research Background ~Company side~ Tokyo City University Systems Information Engineering 4
  4. 4. Purpose of this Research Tokyo City University Systems Information Engineering 5
  5. 5. Result of Analysis ~Similarity of SM~ Tokyo City University Systems Information Engineering 6
  6. 6. Labeling the SM Types Tokyo City University Systems Information Engineering 7
  7. 7. Behavior of the Recipient Information Tokyo City University Systems Information Engineering 8
  8. 8. Behavior of the Recipient Information Tokyo City University Systems Information Engineering 9
  9. 9. Analysis of the Facebook pages Tokyo City University Systems Information Engineering 10
  10. 10. Set the Probability HierarchyTransition Tokyo City University Systems Information Engineering 11
  11. 11. Set the Probability HierarchyTransition Tokyo City University Systems Information Engineering 12
  12. 12. Set the Probability HierarchyTransition Tokyo City University Systems Information Engineering 13
  13. 13. Set the Probability HierarchyTransition Tokyo City University Systems Information Engineering 14
  14. 14. Set the Probability HierarchyTransition Tokyo City University Systems Information Engineering 15
  15. 15. Statistical Test about Linguistic &Nonlinguistic Info Tokyo City University Systems Information Engineering 16
  16. 16. Extraction of Keywords promptingbehavior Tokyo City University Systems Information Engineering 17
  17. 17. Assumption Output ~Using SEM analysis~ Tokyo City University Systems Information Engineering 18
  18. 18. Conclusion Tokyo City University Systems Information Engineering 19
  19. 19. Future tasks Tokyo City University Systems Information Engineering 20
  20. 20. References Tokyo City University Systems Information Engineering 21
  21. 21. Questions & Answers I’m happy to answer your questions! Tokyo City University Systems Information Engineering 22
  22. 22. Definition about the SM and SNS Tokyo City University Systems Information Engineering 23
  23. 23. Definition about the VIRAL & Ex. Empathy! Diffusion Buy!!Case Study1. Spreading of BAD Rumors at the time of the Earthquake2. Obituary of bin Laden Tokyo City University Systems Information Engineering 24
  24. 24. Companies Purposes of the SM Tokyo City University Systems Information Engineering 25
  25. 25. Changes of the SNS by the trend Tokyo City University Systems Information Engineering 26
  26. 26. Variation in the number of samples Tokyo City University Systems Information Engineering 27
  27. 27. Details of the Probability TransitionHierarchy Tokyo City University Systems Information Engineering 28
  28. 28. Concrete data used in correspondenceanalysis Tokyo City University Systems Information Engineering 29
  29. 29. Result of Morphological Analysis Tokyo City University Systems Information Engineering 30
  30. 30. Assumption Output ~ Concern about Ties ~ Tokyo City University Systems Information Engineering 31
  31. 31. Novelty & Usefulness of Research Tokyo City University Systems Information Engineering 32
  32. 32. About Morphological Analysis Tokyo City University Systems Information Engineering 33

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