TY - GEN
T1 - An epidemic model for news spreading on twitter
AU - Abdullah, Saeed
AU - Wu, Xindong
PY - 2011
Y1 - 2011
N2 - In this paper, we describe a novel approach to understand and explain news spreading dynamics on Twitter by using well-known epidemic models. Our underlying hypothesis is that the information diffusion on Twitter is analogous to the spread of a disease. As mathematical epidemiology has been extensively studied, being able to express news spreading as an epidemic model enables us to use a wide range of tools and procedures which have been proven to be both analytically rich and operationally useful. To further emphasize this point, we also show how we can readily use one of such tools - a procedure for detection of influenza epidemics, to detect change of trend dynamics on Twitter.
AB - In this paper, we describe a novel approach to understand and explain news spreading dynamics on Twitter by using well-known epidemic models. Our underlying hypothesis is that the information diffusion on Twitter is analogous to the spread of a disease. As mathematical epidemiology has been extensively studied, being able to express news spreading as an epidemic model enables us to use a wide range of tools and procedures which have been proven to be both analytically rich and operationally useful. To further emphasize this point, we also show how we can readily use one of such tools - a procedure for detection of influenza epidemics, to detect change of trend dynamics on Twitter.
UR - http://www.scopus.com/inward/record.url?scp=84862911175&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862911175&partnerID=8YFLogxK
U2 - 10.1109/ICTAI.2011.33
DO - 10.1109/ICTAI.2011.33
M3 - Conference contribution
AN - SCOPUS:84862911175
SN - 9780769545967
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 163
EP - 169
BT - Proceedings - 2011 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
T2 - 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
Y2 - 7 November 2011 through 9 November 2011
ER -