异构网络中2SIH2R谣言传播模型的动力学研究

Yan Wang, Feng Qing, Ming Yan
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引用次数: 4

摘要

由于社交媒体的发展,信息传播的门槛比以往任何时候都要低。谣言作为一种特殊的信息,通常是有害的,通常伴随着高度的模糊性,使其难以立即识别,但“谣言止于智者”。当有人认定谣言是假的,并开始传播真相时,谣言和真相之间就会形成对抗关系,导致前者被扼杀。鉴于此,我们在本研究中开发了一个2SIH2R模型,该模型包含异质网络中的识别和对抗机制,以检验谣言和真相的传播。利用2SIH2R模型的平均场方程,可以在三种情况下分别确定每一种扩散的阈值。数值模拟结果表明,在相同条件下,辨别机制或对抗机制越大,谣言的瞬时最大影响和最终影响范围越小。这也可以得出结论,政府尽早公布事件的真相可以显著地控制谣言。其次,提前公布真相比谣言出现后更有效。第三,政府应该加大教育力度,提高公民揭露谣言的能力,而不是在谣言发生后增加真相的传播。这些结果可以用来帮助减少谣言的有害影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of 2SIH2R Rumor-Spreading Model in a Heterogeneous Network
Due to the development of social media, the threshold for information dissemination has become lower than ever before. As a special kind of information, rumors are usually harmful and are usually accompanied by a high degree of ambiguity that makes them difficult to immediately identify, but “rumors stop at wise men.” When someone identifies a rumor as false and begins spreading the truth instead, a confrontational relationship obtains between the rumor and the truth that leads to the stifling of the former. Given this, we developed a 2SIH2R model in this study that contains mechanisms of discernment and confrontation in a heterogeneous network to examine the dissemination of the rumor and the truth. By using mean-field equations of the 2SIH2R model, the threshold of the spreading of each can be determined separately in three cases. The results of a numerical simulation show that under the same conditions, the greater is the mechanism of discernment or confrontation, the smaller is the instantaneous maximum influence and the final range of influence of the rumor. It can be also concluded that the earlier release of the truth about the event by the government can significantly control the rumor. Secondly, it is more effective to publish the truth in advance than after the rumor has appeared. Thirdly, it is more important for the government to increase education and improve the ability of citizens to reveal the rumor than to increase the spread of the truth after the rumor occurs. These results can be used to help reduce the harmful effects of rumors.
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