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2Tokyo City University Systems Information Engineering
Contents
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Research Background ～Consumer Side ～
Figure 1: Changes in the users of SM in Japan (10 - 11)
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Research Background ～Company side ～
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Purpose of this Research
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Result of Analysis ～ Similarity of SM ～
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Labeling the SM Types
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Behavior of the Recipient Information
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Behavior of the Recipient Information
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Analysis of the Facebook pages
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Set the Probability Hierarchy Transition
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Set the Probability Hierarchy Transition
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Set the Probability Hierarchy Transition
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Set the Probability Hierarchy Transition
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Set the Probability Hierarchy Transition
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Statistical Test about Linguistic & Nonlinguistic Info
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Extraction of Keywords prompting behavior
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Assumption Output ～ Using SEM analysis ～
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Conclusion
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Future tasks
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References
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Questions & Answers
Q&AI’m happy to answer your questions!
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Definition about the SM and SNS
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Definition about the VIRAL & Ex.
Empathy!
Buy!!
Diffusion
Case Study
1. Spreading of BAD Rumors at the time of the Earthquake
2. Obituary of bin Laden
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Companies Purposes of the SM
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Changes of the SNS by the trend
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Variation in the number of samples
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Details of the Probability Transition Hierarchy
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Concrete data used in correspondence analysis
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Result of Morphological Analysis
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Assumption Output ～ Concern about Ties ～
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Novelty & Usefulness of Research
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About Morphological Analysis
