[1]陈旭华 潘雅婷.大数据背景下的社交网络谣言传播研究[J].信息化理论与实践,2019,(01):38-46.
 Research on Social Network Rumor Propagation in the Background of Big Data Chen Xuhua1 Pan Yating2[J].Information Theory and Practice,2019,(01):38-46.
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大数据背景下的社交网络谣言传播研究()
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《信息化理论与实践》[ISSN:2520-5862/CN:]

卷:
期数:
2019年01期
页码:
38-46
栏目:
出版日期:
2020-06-30

文章信息/Info

Title:
Research on Social Network Rumor Propagation in the Background of Big Data Chen Xuhua1 Pan Yating2
作者:
陈旭华  潘雅婷
1(福州大学图书馆 福州 350108)
Author(s):
1
(Library of Fuzhou University, Fujian 350108China) 2(Library of Fuzhou University, Fujian 350108China)
关键词:
大数据 谣言传播 SIR模型 社交网络
Keywords:
Big Data Rumor Spreading SIRT Model Social Networks
摘要:
目的]大数据背景下,在线社交网络的发展加剧了谣言信息的危害性,因而在大数据背景下对谣言传播机制进行研究越来越重要。[方法]在经典SIR谣言传播模型的基础上,尝试建立了基于谣言传播者分类的SIIR模型,并应用数值模拟的方法分析了SIIR模型所描述的谣言传播过程。[结果] SIIR模型更符合谣言信息的实际传播过程,且表明谣言传播周期与扩散范围的影响因素。[局限]有待进一步扩充微博等社交平台的真实谣言数据规模进行实证研究。[结论]SIIR谣言传播模型为控制大数据背景下的社交网络谣言传播影响提供了依据。
Abstract:
Objective] In the context of big data, the development of online social networks intensifies the harmlessness of rumor information, so it is more and more important to study the rumor propagation mechanism in the context of big data. [Methods] On the basis of the classical SIR rumor propagation model, a SIIR model based on the classification of rumor disseminators is established, and the process of rumor propagation described by SIIR model is analyzed by means of numerical simulation. [Results] The SIIR model is not only more consistent with the actual propagation process of rumor information, but also shows the influencing factors of rumor propagation cycle and diffusion range. [Limitations] It is necessary to further expand the scale of real rumor data on weibo and other social platforms for empirical research . [ Conclusions] SIIR rumor propagation model provides a basis for controlling the influence of rumor propagation on social networks in the context of big data

参考文献/References:

[1] 张芳,司光亚,罗批.谣言传播模型研究综述[J].复杂系统与复杂性科学,2009,6(04):1-11.

[2] Zanette D H. Dynamics of rumor propagation on small-world networks[J]. Physical review E, 2002, 65(4): 041908.

[3] L. Buzna, K. Peters, D. Helbing. Modeling the dynamics of disaster spreading in networks. Physica A, 2006, 363: 132-140.

[4] Moreno Y, Nekovee M, Pacheco A F. Dynamics of rumor spreading in complex networks[J]. Physical Review E, 2004, 69(6): 066130.

[5] 陶雪娇,胡晓峰,刘洋.大数据研究综述[J].系统仿真学报,2013,25(S1):142-146.

[6] 张梦.大数据背景下国防科技信息传播新发展[J].情报理论与实践,2019,42(08):50-53

[7] 吴彦孜. 微信谣言的扩散机制研究[D].西南大学,2016.

[8] 王国华,方付建,陈强.网络谣言传导:过程、动因与根源——以地震谣言为例[J].北京理工大学学报(社会科学版),2011,13(02):112-116.

备注/Memo

备注/Memo:
(通讯作者: 陈旭华,联系电话: 13615003749,E-mail: chenxh@fzu.edu.cn)
更新日期/Last Update: 2021-01-19