Title :
Discovering seasonal patterns of smoking behavior using online search information
Author :
Zhu Zhang ; Xiaolong Zheng ; Zeng, Daniel Dajun ; Kainan Cui ; Chuan Luo ; Saike He ; Leischow, Scott
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
Abstract :
Discovering temporal patterns and changes in tobacco use has important practical implications in tobacco control. This paper presents one of the first comprehensive international studies of seasonal smoking patterns based on online searches performed. Using periodogram and cross-correlation, we find that smoking-related search behavior shows strong seasonality effect across countries. In addition, there are significant pairwise associations between such seasonality in different countries.
Keywords :
Internet; behavioural sciences; information retrieval; cross-correlation; online search information; pairwise associations; periodogram; seasonal smoking pattern discovery; seasonality effect; smoking-related search behavior; temporal pattern discovery; tobacco control; Australia; Correlation; Diseases; Google; Informatics; Internet; Market research; behavior informatics; search behavior; seasonality; smoking;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-6214-6
DOI :
10.1109/ISI.2013.6578861
