A Human Flesh Search Algorithm Based on Information Puzzle

Abstract

In view of the characteristics of information dissemination in human flesh search, combined with the transmission mechanism of infectious diseases, this paper proposed the information puzzle. Human flesh search is the process of searching for many pieces of information and put them together. And this process has be seen as the information puzzle. In addition, this paper proposed a new node model with multi-infective state and propagation model from the perspective of complex networks. This model considered the simultaneous propagation of multiple messages and the fact that each node can receive multiple messages. Finally, we simulated the human flesh search process, and analyzed the main factors that influenced the information propagation, such as the network topology, the degree of node, the number of nodes and the probability of propagation in the search process. The theoretical derivation and simulation results show that the process of information puzzle can display the characteristics of human flesh search, and analyze the factors that influence the information puzzle.