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 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 140-151 |
| Number of pages | 12 |
| Volume | 7901 LNCS |
| DOIs | |
| State | Published - 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) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 14th International Conference on Web-Age Information Management, WAIM 2013 |
|---|---|
| Country | China |
| City | Beidaihe |
| Period | 6/14/13 → 6/16/13 |
Fingerprint
Keywords
- emergency response
- Information diffusion
- micro-blogging systems
- opinion dynamic
- social media
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
An empirical study of information diffusion in micro-blogging systems during emergency events. / Cui, Kainan; Zheng, Xiaolong; Zeng, Dajun; Zhang, Zhu; Luo, Chuan; He, Saike.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7901 LNCS 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
}
TY - GEN
T1 - An empirical study of information diffusion in micro-blogging systems during emergency events
AU - Cui, Kainan
AU - Zheng, Xiaolong
AU - Zeng, Dajun
AU - Zhang, Zhu
AU - Luo, Chuan
AU - He, Saike
PY - 2013
Y1 - 2013
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 - emergency response
KW - Information diffusion
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
VL - 7901 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 140
EP - 151
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -