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

fYear

2013

fDate

4-7 June 2013

Firstpage

371

Lastpage

373

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence and Security Informatics (ISI), 2013 IEEE International Conference on

Conference_Location

Seattle, WA

Print_ISBN

978-1-4673-6214-6

Type

conf

DOI

10.1109/ISI.2013.6578861

Filename

6578861