An empirical analysis of social interaction on tobacco-oriented social networks

Yunji Liang; Xiaolong Zheng; Daniel Dajun Zeng; Xingshe Zhou; Scott Leischow

doi:10.1007/978-3-642-39844-5_3

An empirical analysis of social interaction on tobacco-oriented social networks

Yunji Liang
, Xiaolong Zheng
, Daniel Dajun Zeng
, Xingshe Zhou
, Scott Leischow

School of Computer Science

Northwestern Polytechnical University Xian
University of Arizona
CAS - Institute of Automation
Chinese Academy of Sciences
Mayo Clinic in Arizona

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions.

Original language	English
Title of host publication	Smart Health - International Conference, ICSH 2013, Proceedings
Pages	18-23
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-39844-5_3
State	Published - 2013
Event	2013 International Conference for Smart Health, ICSH 2013 - Beijing, China Duration: 3 Aug 2013 → 4 Aug 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8040 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2013 International Conference for Smart Health, ICSH 2013
Country/Territory	China
City	Beijing
Period	3/08/13 → 4/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Facebook
Fan Page
Social Network
Tobacco
User Interaction

Access to Document

10.1007/978-3-642-39844-5_3

Cite this

Liang, Y., Zheng, X., Zeng, D. D., Zhou, X., & Leischow, S. (2013). An empirical analysis of social interaction on tobacco-oriented social networks. In Smart Health - International Conference, ICSH 2013, Proceedings (pp. 18-23). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8040 LNCS). https://doi.org/10.1007/978-3-642-39844-5_3

@inproceedings{cb87cf11f74a4199a04fe8acbc85bf7d,

title = "An empirical analysis of social interaction on tobacco-oriented social networks",

abstract = "Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions.",

keywords = "Facebook, Fan Page, Social Network, Tobacco, User Interaction",

author = "Yunji Liang and Xiaolong Zheng and Zeng, \{Daniel Dajun\} and Xingshe Zhou and Scott Leischow",

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language = "英语",

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note = "2013 International Conference for Smart Health, ICSH 2013 ; Conference date: 03-08-2013 Through 04-08-2013",

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Liang, Y, Zheng, X, Zeng, DD, Zhou, X & Leischow, S 2013, An empirical analysis of social interaction on tobacco-oriented social networks. in Smart Health - International Conference, ICSH 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8040 LNCS, pp. 18-23, 2013 International Conference for Smart Health, ICSH 2013, Beijing, China, 3/08/13. https://doi.org/10.1007/978-3-642-39844-5_3

An empirical analysis of social interaction on tobacco-oriented social networks. / Liang, Yunji; Zheng, Xiaolong; Zeng, Daniel Dajun et al.
Smart Health - International Conference, ICSH 2013, Proceedings. 2013. p. 18-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8040 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An empirical analysis of social interaction on tobacco-oriented social networks

AU - Liang, Yunji

AU - Zheng, Xiaolong

AU - Zeng, Daniel Dajun

AU - Zhou, Xingshe

AU - Leischow, Scott

PY - 2013

Y1 - 2013

N2 - Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions.

AB - Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions.

KW - Facebook

KW - Fan Page

KW - Social Network

KW - Tobacco

KW - User Interaction

UR - https://www.scopus.com/pages/publications/84881191762

U2 - 10.1007/978-3-642-39844-5_3

DO - 10.1007/978-3-642-39844-5_3

M3 - 会议稿件

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SN - 9783642398438

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Smart Health - International Conference, ICSH 2013, Proceedings

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ER -

Liang Y, Zheng X, Zeng DD, Zhou X, Leischow S. An empirical analysis of social interaction on tobacco-oriented social networks. In Smart Health - International Conference, ICSH 2013, Proceedings. 2013. p. 18-23. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-39844-5_3

An empirical analysis of social interaction on tobacco-oriented social networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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