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
- 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