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| Modeling and Simulation of Risk Communication under Conflict Information Conditions |
| ZHANG Hubo，LIU Tiezhong，ZHANG Huyuan，LI Xiaowei |
| Beijing Institute of Technology， Beijing, China |
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Abstract From the perspective of system theory, the main factors affecting risk communication under conflict information conditions are studied. The social network structure is restored by the local world model construction method. On this basis, positive and negative conflict information are simultaneously studied in the social network. The multi-agent modeling and simulation method is combined with the risk communication theory to design the properties of agents, and the emergence of micro-agent in the macro-social network is investigated. Through modeling and simulation analysis, it is found that the social network location of the public, the average degree of social network, the proportion of initial positive and negative risk information, the level of trust between the public and the level of confidence of the public’s risk ability will have an impact on risk communication. According to the results, we propose measures to improve the effectiveness of risk communication.
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Received: 26 February 2019
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