Abstract: At present, many detection methods only judge whether the information is a rumor, and there is less research on the source of the rumor. Aiming at the problem of ignoring the application of node weights as an important parameter in rumor source detection in previous studies, a model of objective weighting algorithm based on rumor centrality, namely BEW algorithm, is proposed. The model firstly calculates the weights of network nodes through the entropy weight algorithm, and then simulates network propagation based on the SIR model, while considering the embedded characteristics of the network node weights, and finally achieves the purpose of source point prediction through the MLE algorithm. Simulation experiments are carried out through 4 real networks. The experimental results show that the algorithm can achieve better results in identifying the source of rumors.

Key words: rumor source detection, SIR model, MLE, rumor centrality, weigh