Abstract: To detect network event efficiently in the large scaled and heterogeneous network environment,this research puts forward a new approach based on time-slice and multi metadata fusion for Multimedia Social Event Detection. Firstly,a user-time model by time-slicing with user information was constructed to reduce the scale of data. Secondly,the multi metadata fusion method and density-based clustering( DBSCAN) algorithm were applied to detect social events. The comparison experiments of the latest dataset-SED2014 indicate that the new approach is faster and more accurate to detect the network social event compared with the existing methods.