Title :
Data fusion and mis-information removal in social networks
Author :
Krishnamurthy, Vikram ; Hamdi, Maziyar
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Abstract :
A key issue in state estimation presented in a multiagent social network scenario is the inadvertent multiple re-use of data also known as mis-information propagation. We formulate this mis-information propagation in a graph theoretic setting and give a necessary and sufficient conditions on the adjacency matrix so that the underlying state can be estimated. A suboptimal algorithm is also presented when the information flow graph is not known.
Keywords :
graph theory; matrix algebra; network theory (graphs); sensor fusion; adjacency matrix; data fusion; graph theoretic setting; information flow graph; mis-information propagation; mis-information removal; multiagent social network scenario; state estimation; suboptimal algorithm; Bayesian methods; Delay; Estimation; Network topology; Protocols; Social network services; Vectors; Bayesian estimation; Social Network; data incest; mis-information propagation;
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2
