ARTÍCULO
TITULO

Social Trend Mining: Lead or Lag

Hossein Hassani    
Nadejda Komendantova    
Elena Rovenskaya and Mohammad Reza Yeganegi    

Resumen

This research underscores the profound implications of Social Intelligence Mining, notably employing open access data and Google Search engine data for trend discernment. Utilizing advanced analytical methodologies, including wavelet coherence analysis and phase difference, hidden relationships and patterns within social data were revealed. These techniques furnish an enriched comprehension of social phenomena dynamics, bolstering decision-making processes. The study?s versatility extends across myriad domains, offering insights into public sentiment and the foresight for strategic approaches. The findings suggest immense potential in Social Intelligence Mining to influence strategies, foster innovation, and add value across diverse sectors.

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Revista: Water