Discovering seasonal patterns of smoking behavior using online search information

Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng, Kainan Cui, Chuan Luo, Saike He, Scott Leischow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationIEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationBig Data, Emergent Threats, and Decision-Making in Security Informatics
Pages371-373
Number of pages3
DOIs
StatePublished - Sep 9 2013
Event11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013 - Seattle, WA, United States
Duration: Jun 4 2013Jun 7 2013

Other

Other11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013
CountryUnited States
CitySeattle, WA
Period6/4/136/7/13

Fingerprint

Tobacco

Keywords

  • behavior informatics
  • search behavior
  • seasonality
  • smoking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Zhang, Z., Zheng, X., Zeng, D. D., Cui, K., Luo, C., He, S., & Leischow, S. (2013). Discovering seasonal patterns of smoking behavior using online search information. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics (pp. 371-373). [6578861] https://doi.org/10.1109/ISI.2013.6578861

Discovering seasonal patterns of smoking behavior using online search information. / Zhang, Zhu; Zheng, Xiaolong; Zeng, Daniel Dajun; Cui, Kainan; Luo, Chuan; He, Saike; Leischow, Scott.

IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. p. 371-373 6578861.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Z, Zheng, X, Zeng, DD, Cui, K, Luo, C, He, S & Leischow, S 2013, Discovering seasonal patterns of smoking behavior using online search information. in IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics., 6578861, pp. 371-373, 11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013, Seattle, WA, United States, 6/4/13. https://doi.org/10.1109/ISI.2013.6578861
Zhang Z, Zheng X, Zeng DD, Cui K, Luo C, He S et al. Discovering seasonal patterns of smoking behavior using online search information. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. p. 371-373. 6578861 https://doi.org/10.1109/ISI.2013.6578861
Zhang, Zhu ; Zheng, Xiaolong ; Zeng, Daniel Dajun ; Cui, Kainan ; Luo, Chuan ; He, Saike ; Leischow, Scott. / Discovering seasonal patterns of smoking behavior using online search information. IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics. 2013. pp. 371-373
@inproceedings{2d7bdc0e71a942dcafd892f4a493e4ae,
title = "Discovering seasonal patterns of smoking behavior using online search information",
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 = "behavior informatics, search behavior, seasonality, smoking",
author = "Zhu Zhang and Xiaolong Zheng and Zeng, {Daniel Dajun} and Kainan Cui and Chuan Luo and Saike He and Scott Leischow",
year = "2013",
month = "9",
day = "9",
doi = "10.1109/ISI.2013.6578861",
language = "English (US)",
isbn = "9781467362115",
pages = "371--373",
booktitle = "IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics",

}

TY - GEN

T1 - Discovering seasonal patterns of smoking behavior using online search information

AU - Zhang, Zhu

AU - Zheng, Xiaolong

AU - Zeng, Daniel Dajun

AU - Cui, Kainan

AU - Luo, Chuan

AU - He, Saike

AU - Leischow, Scott

PY - 2013/9/9

Y1 - 2013/9/9

N2 - 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.

AB - 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.

KW - behavior informatics

KW - search behavior

KW - seasonality

KW - smoking

UR - http://www.scopus.com/inward/record.url?scp=84883364808&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883364808&partnerID=8YFLogxK

U2 - 10.1109/ISI.2013.6578861

DO - 10.1109/ISI.2013.6578861

M3 - Conference contribution

SN - 9781467362115

SP - 371

EP - 373

BT - IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics

ER -