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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)




      Tokyo City University          Systems Information Engineering                    3
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 Hierarchy
Transition




      Tokyo City University   Systems Information Engineering   11
Set the Probability Hierarchy
Transition




      Tokyo City University   Systems Information Engineering   12
Set the Probability Hierarchy
Transition




      Tokyo City University   Systems Information Engineering   13
Set the Probability Hierarchy
Transition




      Tokyo City University   Systems Information Engineering   14
Set the Probability Hierarchy
Transition




      Tokyo City University   Systems Information Engineering   15
Statistical Test about Linguistic &
Nonlinguistic Info




        Tokyo City University   Systems Information Engineering   16
Extraction of Keywords prompting
behavior




       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!
                                        Diffusion


                                                                        Buy!!



Case Study

1. Spreading of BAD Rumors at the time of the Earthquake
2. Obituary of bin Laden

                Tokyo City University          Systems Information Engineering   24
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 Transition
Hierarchy




       Tokyo City University   Systems Information Engineering   28
Concrete data used in correspondence
analysis




       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

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

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