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AGENT-BASED MODELINGAND SIMULATION: THE EVOLUTION OF INTERNET PUBLIC OPINION IN EMERGENT EVENTS

机译:基于代理的建模与仿真:紧急事件中互联网舆论的演变

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摘要

In this paper, several factors are analyzed in the evolution of Internet public opinion in emergent events. The analysis was conducted with illustration about the information spreading in the event of "H7N9 bird flu outbreak", using NetLogo. After agent-based modeling and simulation, some interesting results have been found: (1) compared to the Internet public opinions without government intervention, the situation with government intervention had a shorter time to reach steady state; (2) compared to the Internet public opinions with lower credibility of the government, the situation with higher credibility of the government had a shorter time to reach steady state; (3) the sooner the government disclosed information on the Internet, the sooner the public opinions reached steady state; (4) the more opinion leaders participated in the Internet public opinions, the earlier the opinions reached steady state.
机译:在本文中,在紧急事件中的互联网公众舆论演变中分析了几个因素。 使用NetLogo的“H7N9禽流感爆发”的信息传播的信息进行了分析。 在基于代理的建模和仿真之后,已经找到了一些有趣的结果:(1)与互联网公众意见没有政府干预,政府干预的情况达到稳定的稳步时间; (2)与政府信誉较低的互联网公众意见相比,政府信誉较高的情况有较短的时间达到稳定状态; (3)政府透露关于互联网信息的信息,公众意见越早达到稳定状态; (4)越多的意见领导者参加了互联网公众意见,提前意见达到稳定状态。

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