Abstract：The deficiencies of most existing spreading source detection methods are low detection rate and large error distance due to the disregard of priori estimation of source node. The infection model, susceptible-infected(SI), is utilized to simulate the propagation process of information in weighed social networks, and a spreading source tracing algorithm based on priori estimation is proposed. Both infected and uninfected nodes of neighborhood are considered, and priori estimations are assigned to the source node according to the number relationship between infected nodes and uninfected nodes. Experiments on artificial and real networks indicate that the proposed algorithm achieves a high detection rate, a small error distance and a high accuracy of real source node ranking.
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2020, Vol. 33 
