TY - GEN
T1 - A two-stage algorithm to estimate the source of information diffusion in social media networks
AU - Louni, Alireza
AU - Subbalakshmi, K. P.
PY - 2014
Y1 - 2014
N2 - We study the important problem of source localization in the context of information spreads in large social networks. Specifically, we design a Maximum-Likelihood source localization algorithm that is especially suited to large social networks. Our proposed algorithm requires about 3% fewer sensor nodes than other single stage algorithms for the same level of accuracy in detection. For practical social networks, which are typically large, this translates to a significantly fewer number of sensor nodes.
AB - We study the important problem of source localization in the context of information spreads in large social networks. Specifically, we design a Maximum-Likelihood source localization algorithm that is especially suited to large social networks. Our proposed algorithm requires about 3% fewer sensor nodes than other single stage algorithms for the same level of accuracy in detection. For practical social networks, which are typically large, this translates to a significantly fewer number of sensor nodes.
UR - http://www.scopus.com/inward/record.url?scp=84904498067&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904498067&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2014.6849253
DO - 10.1109/INFCOMW.2014.6849253
M3 - Conference contribution
AN - SCOPUS:84904498067
SN - 9781479930883
T3 - Proceedings - IEEE INFOCOM
SP - 329
EP - 333
BT - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
T2 - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
Y2 - 27 April 2014 through 2 May 2014
ER -