ISBN: 978-981-18-3959-7 DOI: 10.18178/wcse.2022.06.044
Modeling and Simulation of Network Event Propagation Interference based on mSIR-CA
Abstract— Network events are not completely independent in the communication process, and they will be affected by other events in the same communication process. In order to study the change of propagation law caused by the interference between network events, this paper first designs the interference framework of network event propagation according to the diffusion characteristics of network events and the view that different events in the same diffusion process will have an impact. In the framework, the mSIR-CA (multiple SIR-cellular automata) model is proposed by combining the cellular automata theory with the complex state transition rules which are improved based on SIR model and suitable for multiple event propagation, and the mSIR-CA model is used to simulate the event interference propagation under different conditions. The simulation results show that interference events can have a significant impact on the target event diffusion, and the whole process follows its inherent law, which can provide a new theoretical basis for the relevant departments to deal with public opinion and other application scenarios.
Index Terms—internet public opinion, network event interference, cellular automata simulation, cellular state transition, propagation deduction
Jie Zang, Xu Ren, Yan Wang
College of Information Liaoning University, Shenyang, CHINA
Public security information technology and Information Institute Criminal Investigation Police University of China, Shenyang, CHINA
Cite:Jie Zang, Xu Ren, Yan Wang, Ping Xiao, "Modeling and Simulation of Network Event Propagation Interference based on mSIR-CA, " Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering (WCSE 2022), pp. 306-312, June 24-27, 2022.