The Influence of Social Media Writing on Online Search Behavior for Seasonal Events: The Sociophysics Approach
January 01, 2019 Β· Declared Dead Β· π 2018 IEEE International Conference on Big Data (Big Data)
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Authors
Nozomi Okano, Masaru Higashi, Akira Ishii
arXiv ID
1901.00076
Category
physics.soc-ph
Cross-listed
cs.SI
Citations
0
Venue
2018 IEEE International Conference on Big Data (Big Data)
Last Checked
4 months ago
Abstract
Using seasonal topics as the study subject, in this study, we focus on the timing gap between social media writing and online search behavior. To conduct our analysis, we used the mathematical model of search behavior, comprising the sociophysics approach. The seasonal topics selected were St.Valentine's Day, Halloween and New Year countdown. We also picked up the event like Christmas and Halloween. We analyzed the influence of blogs and Twitter on search behavior and found a deviation of interest in terms of timing. We also analyzed Japanese seasonal event of eating Eho-maki in February 3 and eels at the day of the ox in midsummer.
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