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作 者:张金鑫[1] 王丽婷 张金华 ZHANG Jin-xin;WANG Li-ting;ZHANG Jin-hua(School of Business,Hubei University,Wuhan 430062,China;School of Economics and Management,Fuzhou University,Fuzhou 350108,China)
机构地区:[1]湖北大学商学院,湖北武汉430062 [2]福州大学经济与管理学院,福建福州350108
出 处:《情报科学》2020年第11期115-120,共6页Information Science
基 金:国家自然科学基金项目“基于知识网格面向网络舆情的政府决策知识供需匹配研究”(71271056)。
摘 要:【目的/意义】研究网络谣言传播规律,有助于网络监管部门控制网络谣言扩散规模,减少网络谣言引起的损失。【方法/过程】考虑到实际网络谣言传播过程中,造谣者会用多个账号发布谣言,以加快谣言传播速度和躲避网络监管;而当网络谣言扩散到一定规模时,网络监管部门会采取导控措施,抑制网络谣言传播,以降低其负面影响。因此,针对上述两方面改进传统的SIR谣言传播模型,提出SInQR网络谣言传播模型,并在无标度网络上进行仿真实验。【结果/结论】仿真实验从谣言传播率、受导控率、主动免疫率以及导控时间四个角度探讨对网络谣言传播的影响,与传统SIR谣言传播模型的对比结果表明SInQR模型比SIR模型能够更好地反映现实网络中谣言传播的规律。【Purpose/significance】Studying the rule of the spread of Internet rumors will help the network supervision departments to control the scale of the spread of network rumors and reduce the losses caused by network rumors.【Method/process】Considering the fact that in the process of spreading Internet rumors,rumor makers will use multiple accounts to release rumors in order to speed up the spread of rumors and avoid network supervision,and when the rumors spread to a certain scale,network supervision departments will take control measures to suppress the spread of online rumors,so as to reduce its negative impact.Therefore,in view of the above two aspects,the traditional SIR rumor propagation model is improved,the SInQR network rumor propagation model is proposed,and the simulation experiment is carried out on scalefree network.【Result/conclusion】The simulation experiment explores the influence of rumor spreading rate,controlled rate,active immunity rate and lead time on the network rumor spreading.Compared with the traditional SIR rumor spreading model,the results show that the SInQR model can better reflect the rule of rumor spreading in the real network than the SIR model.
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