An empirical study of information diffusion in micro-blogging systems during emergency events

Kainan Cui; Xiaolong Zheng; Daniel Dajun Zeng; Zhu Zhang; Chuan Luo; Saike He

doi:10.1007/978-3-642-39527-7_16

An empirical study of information diffusion in micro-blogging systems during emergency events

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

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

2 Scopus citations

Abstract

Understanding the rapid information diffusion process in social media is critical for crisis management. Most of existing studies mainly focus on information diffusion patterns under the word-of-mouth spread mechanism. However, to date, the mass-media spread mechanism in social media is still not well studied. In this paper, we take the emergency event of Wenzhou train crash as a case and conduct an empirical analysis, utilizing geospatial correlation analysis and social network analysis, to explore the mass-meida spread mechanism in social media. By using the approach of agent-based modeling, we further make a quantativiely comparison with the information diffusion patterns under the word-of-mouth spread mechanism. Our exprimental results show that the mass-meida spread mechanism plays a more important role than that of the word-of-mouth in the information diffusion process during emergency events. The results of this paper can provide significant potential implications for crisis management.

Original language	English (US)
Title of host publication	Web-Age Information Management - WAIM 2013, International Workshops
Subtitle of host publication	HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Proceedings
Pages	140-151
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-39527-7_16
State	Published - Dec 1 2013
Externally published	Yes
Event	14th International Conference on Web-Age Information Management, WAIM 2013 - Beidaihe, China Duration: Jun 14 2013 → Jun 16 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7901 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th International Conference on Web-Age Information Management, WAIM 2013
Country	China
City	Beidaihe
Period	6/14/13 → 6/16/13

Keywords

Information diffusion
emergency response
micro-blogging systems
opinion dynamic
social media

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-39527-7_16

Fingerprint Dive into the research topics of 'An empirical study of information diffusion in micro-blogging systems during emergency events'. Together they form a unique fingerprint.

Cite this

Cui, K., Zheng, X., Zeng, D. D., Zhang, Z., Luo, C., & He, S. (2013). An empirical study of information diffusion in micro-blogging systems during emergency events. In Web-Age Information Management - WAIM 2013, International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Proceedings (pp. 140-151). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7901 LNCS). https://doi.org/10.1007/978-3-642-39527-7_16

An empirical study of information diffusion in micro-blogging systems during emergency events. / Cui, Kainan; Zheng, Xiaolong; Zeng, Daniel Dajun; Zhang, Zhu; Luo, Chuan; He, Saike.

Web-Age Information Management - WAIM 2013, International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Proceedings. 2013. p. 140-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7901 LNCS).

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

Cui, K, Zheng, X, Zeng, DD, Zhang, Z, Luo, C & He, S 2013, An empirical study of information diffusion in micro-blogging systems during emergency events. in Web-Age Information Management - WAIM 2013, International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7901 LNCS, pp. 140-151, 14th International Conference on Web-Age Information Management, WAIM 2013, Beidaihe, China, 6/14/13. https://doi.org/10.1007/978-3-642-39527-7_16

Cui K, Zheng X, Zeng DD, Zhang Z, Luo C, He S. An empirical study of information diffusion in micro-blogging systems during emergency events. In Web-Age Information Management - WAIM 2013, International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Proceedings. 2013. p. 140-151. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-39527-7_16

Cui, Kainan ; Zheng, Xiaolong ; Zeng, Daniel Dajun ; Zhang, Zhu ; Luo, Chuan ; He, Saike. / An empirical study of information diffusion in micro-blogging systems during emergency events. Web-Age Information Management - WAIM 2013, International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Proceedings. 2013. pp. 140-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d9596b5f5c854e72b40d853c908b9cd2,

title = "An empirical study of information diffusion in micro-blogging systems during emergency events",

abstract = "Understanding the rapid information diffusion process in social media is critical for crisis management. Most of existing studies mainly focus on information diffusion patterns under the word-of-mouth spread mechanism. However, to date, the mass-media spread mechanism in social media is still not well studied. In this paper, we take the emergency event of Wenzhou train crash as a case and conduct an empirical analysis, utilizing geospatial correlation analysis and social network analysis, to explore the mass-meida spread mechanism in social media. By using the approach of agent-based modeling, we further make a quantativiely comparison with the information diffusion patterns under the word-of-mouth spread mechanism. Our exprimental results show that the mass-meida spread mechanism plays a more important role than that of the word-of-mouth in the information diffusion process during emergency events. The results of this paper can provide significant potential implications for crisis management.",

keywords = "Information diffusion, emergency response, micro-blogging systems, opinion dynamic, social media",

author = "Kainan Cui and Xiaolong Zheng and Zeng, {Daniel Dajun} and Zhu Zhang and Chuan Luo and Saike He",

year = "2013",

month = dec,

day = "1",

doi = "10.1007/978-3-642-39527-7_16",

language = "English (US)",

isbn = "9783642395260",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "140--151",

booktitle = "Web-Age Information Management - WAIM 2013, International Workshops",

note = "14th International Conference on Web-Age Information Management, WAIM 2013 ; Conference date: 14-06-2013 Through 16-06-2013",

}

TY - GEN

T1 - An empirical study of information diffusion in micro-blogging systems during emergency events

AU - Cui, Kainan

AU - Zheng, Xiaolong

AU - Zeng, Daniel Dajun

AU - Zhang, Zhu

AU - Luo, Chuan

AU - He, Saike

PY - 2013/12/1

Y1 - 2013/12/1

N2 - Understanding the rapid information diffusion process in social media is critical for crisis management. Most of existing studies mainly focus on information diffusion patterns under the word-of-mouth spread mechanism. However, to date, the mass-media spread mechanism in social media is still not well studied. In this paper, we take the emergency event of Wenzhou train crash as a case and conduct an empirical analysis, utilizing geospatial correlation analysis and social network analysis, to explore the mass-meida spread mechanism in social media. By using the approach of agent-based modeling, we further make a quantativiely comparison with the information diffusion patterns under the word-of-mouth spread mechanism. Our exprimental results show that the mass-meida spread mechanism plays a more important role than that of the word-of-mouth in the information diffusion process during emergency events. The results of this paper can provide significant potential implications for crisis management.

AB - Understanding the rapid information diffusion process in social media is critical for crisis management. Most of existing studies mainly focus on information diffusion patterns under the word-of-mouth spread mechanism. However, to date, the mass-media spread mechanism in social media is still not well studied. In this paper, we take the emergency event of Wenzhou train crash as a case and conduct an empirical analysis, utilizing geospatial correlation analysis and social network analysis, to explore the mass-meida spread mechanism in social media. By using the approach of agent-based modeling, we further make a quantativiely comparison with the information diffusion patterns under the word-of-mouth spread mechanism. Our exprimental results show that the mass-meida spread mechanism plays a more important role than that of the word-of-mouth in the information diffusion process during emergency events. The results of this paper can provide significant potential implications for crisis management.

KW - Information diffusion

KW - emergency response

KW - micro-blogging systems

KW - opinion dynamic

KW - social media

UR - http://www.scopus.com/inward/record.url?scp=84893128815&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893128815&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-39527-7_16

DO - 10.1007/978-3-642-39527-7_16

M3 - Conference contribution

AN - SCOPUS:84893128815

SN - 9783642395260

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

SP - 140

EP - 151

BT - Web-Age Information Management - WAIM 2013, International Workshops

T2 - 14th International Conference on Web-Age Information Management, WAIM 2013

Y2 - 14 June 2013 through 16 June 2013

ER -