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 -