Analysis of social media content and search behavior related to seasonal topics using the sociophysics approach

TL;DR

This paper models social media and search behavior around seasonal topics using sociophysics, revealing time delays between posting content and search actions across different seasons.

Contribution

It introduces a sociophysics-based mathematical model to analyze the timing between social media posts and search behavior for seasonal topics.

Findings

Identified specific time deviations between posting and searching for seasonal topics.

Analyzed influence of blogs and Twitter on search interest.

Applied sociophysics theory to social media and search data.

Abstract

We studied the time interval between posting social media content and search action related to seasonal topics. The analysis was performed using a mathematical model of the search behavior as in the theory of sociophysics. As seasonal topics, the word cherry blossom was considered for spring, bikini for summer, autumn leaves for fall, and skiing for winter. We examined the influence of blogs and Twitter posts given the search behavior and found a time deviation of interest on these topics.