基于个体兴趣度差异和辟谣机制的谣言传播模型

doi:10.11772/j.issn.1001-9081.2018040890

计算机应用 ›› 2018, Vol. 38 ›› Issue (11): 3312-3318.DOI: 10.11772/j.issn.1001-9081.2018040890

• 应用前沿、交叉与综合 • 上一篇下一篇

基于个体兴趣度差异和辟谣机制的谣言传播模型

冉茂洁, 刘超, 黄贤英, 刘小洋, 杨宏雨, 张光建

重庆理工大学计算机科学与工程学院, 重庆 400054

收稿日期:2018-05-02 修回日期:2018-07-02 出版日期:2018-11-10 发布日期:2018-11-10
通讯作者: 刘超
作者简介:冉茂洁(1993-),女,重庆人,硕士研究生,CCF会员,主要研究方向:谣言传播、信息传播;刘超(1983-),男,四川广安人,教授,博士,主要研究方向:信息传播;黄贤英(1967-),女,重庆人,教授,博士,主要研究方向:信息检索、系统仿真;刘小洋(1980-),男,安徽安庆人,教授,博士,主要研究方向:谣言传播;杨宏雨(1980-),女,重庆人,副教授,博士,主要研究方向:计算机病毒传播;张光建(1980-),男,重庆人,副教授,博士,主要研究方向:信息传播。
基金资助:
国家自然科学基金青年基金资助项目（61503052，61503050）；国家社会科学基金资助项目（17XXW004）；教育部人文社科青年项目（16YJC860010，16JDSZ2019）。

Rumor spread model considering difference of individual interest degree and refutation mechanism

RAN Maojie, LIU Chao, HUANG Xianying, LIU Xiaoyang, YANG Hongyu, ZHANG Guangjian

School of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China

Received:2018-05-02 Revised:2018-07-02 Online:2018-11-10 Published:2018-11-10
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61503052, 61503050), the National Social Science Foundation (17XXW004), the Young Fund of Humanities and Social Sciences of the Ministry of Education of China (16YJC860010, 16JDSZ2019).

摘要/Abstract

摘要： 针对现有谣言传播模型未同时考虑个体兴趣度差异和辟谣机制的问题，提出基于个体兴趣度差异和辟谣机制的IWSR谣言传播模型。计算了模型的平衡点和基本再生数，利用Lyapunov稳定性定理、Hurwitz判据和LaSalle不变性原理，得到部分谣言传播平衡点局部稳定和全局稳定的条件。通过数值仿真得出加强政府辟谣力度或提升个体判断能力等均能有效抑制谣言传播的结论，最后在WS小世界网络和BA无标度网络上的仿真结果得出在不同网络拓扑结构下谣言传播影响因子的影响力度存在差异性的结论。

关键词: 全局稳定性, 谣言传播, 兴趣度差异, 辟谣机制

Abstract: The impact of individual interest and refutation mechanism on rumor spread was investigated, and a new IWSR (Ignorant-Weak spreader-Strong spreader-Removal) rumor spread model was proposed. The basic reproduction number and equilibrium points of the model were calculated. Using Lyapunov stability theorem, Hurwitz criterion and LaSalle invariance principle, the local stability and global stability of some equilibrium points were proved. Through numerical simulations, it is concluded that increasing the effectivity of the governments' refutation actions or improving people' ability of rumor judgement can effectively suppress rumor spread. Finally, numerical simulations were conducted in WS (Watts-Strogatz) small-world network and BA (Barabási-Albert) scale-free network, showing that the network topology exerts significant influence on rumor spread.

Key words: global stability, rumor spread, interest degree difference, refutation mechanism

中图分类号:

TP391.9

冉茂洁, 刘超, 黄贤英, 刘小洋, 杨宏雨, 张光建. 基于个体兴趣度差异和辟谣机制的谣言传播模型[J]. 计算机应用, 2018, 38(11): 3312-3318.

RAN Maojie, LIU Chao, HUANG Xianying, LIU Xiaoyang, YANG Hongyu, ZHANG Guangjian. Rumor spread model considering difference of individual interest degree and refutation mechanism[J]. Journal of Computer Applications, 2018, 38(11): 3312-3318.

参考文献

[1] 余雅红. 复杂网络系统动力学行为分析及控制研究[D]. 成都:电子科技大学, 2015:12.(YU Y H. Research on dynamic behavior analysis and control of complex network system[D]. Chengdu:University of Electronic Science and Technology of China, 2015:12.)
[2] HUO L, SONG N. Dynamical interplay between the dissemination of scientific knowledge and rumor spreading in emergency[J]. Physica A:Statistical Mechanics & its Applications, 2016, 461(1):73-84.
[3] NINA G. "Syrian hackers" break into Associated Press twitter account and "break news" that explosions at White House have injured Obama-sending DOW Jones plunging 100 points[N/OL].(2013-04-23)[2018-03-20]. https://www.dailymail.co.uk/news/article-2313652/AP-Twitter-hackers-break-news-White-House-explosions-injured-Obama.html.
[4] 赵玉忠, 陈业华. 谣言传播规律以及对群体事件的影响[J]. 社会科学家, 2012, 184(8):37-40.(ZHAO Y Z, CHEN Y H. Propagation of rumors and their impact on group events[J]. Social Scientist, 2012, 184(8):37-40.)
[5] HUO L A, LIN T T, HUANG P Q. Dynamical behavior of a rumor transmission model with psychological effect in emergency event[J]. Abstract and Applied Analysis, 2013, 2013(9):Article ID 282394.
[6] HUO L A, HUANG P Q, GUO C X. Analyzing the dynamics of a rumor transmission model with incubation[J]. Discrete Dynamics in Nature & Society, 2012, 2012(5):Article ID 328151.
[7] XIA L L, JIANG G P, SONG B, et al. Rumor spreading model considering hesitating mechanism in complex social networks[J]. Physica A Statistical Mechanics & Its Applications, 2015, 437(1):295-303.
[8] AFASSINOU K. Analysis of the impact of education rate on the rumor spreading mechanism[J]. Physica A:Statistical Mechanics & its Applications, 2014, 414(10):43-52.
[9] 王彦本, 蔡皖东. 社交网络中考虑遗忘机制的谣言传播[J]. 西北工业大学学报, 2016, 34(2):349-355. (WANG Y B, CAI W D. Researching rumor spreading with forgetting mechanism considered in social networking[J]. Journal of Northwestern Polytechnical University, 2016, 34(2):349-355.)
[10] EBBINGHAUS H. Memory:a contribution to experimental psychology[J]. Annals of Neurosciences, 2013, 20(4):155.
[11] NEKOVEE M, MORENO Y, BIANCONI G, et al. Theory of rumor spreading in complex social networks[J]. Physica A:Statistical Mechanics & its Applications, 2008, 374(1):457-470.
[12] ZHAO L, WANG J, CHEN Y, et al. SIHR rumor spreading model in social networks[J]. Physica A:Statistical Mechanics & its Applications, 2012, 391(7):2444-2453.
[13] ZHANG Y, XU J. A rumor spreading model considering the cumulative effects of memory[J]. Discrete Dynamics in Nature and Society, 2015, 2015(2):Article ID 204395.
[14] RINGO M P. Media, crisis, and SARS:an introduction[J]. Asian Journal of Communication, 2005, 15(3):241-246.
[15] 陈华. 一类具有媒体播报效应的谣言传播模型的定性分析[J]. 西安科技大学学报, 2016, 36(2):255-264.(CHEN H. Qualitative analysis of a rumor transmission model with media coverage[J]. Journal of Xi'an University of Science and Technology, 2016, 36(2):255-264.)
[16] ZHAO L, WANG Q, CHENG J, et al. The impact of authorities' media and rumor dissemination on the evolution of emergency[J]. Physica A:Statistical Mechanics & its Applications, 2012, 391(15):3978-3987.
[17] 邢玲, 宋章浩, 马强. 基于混合行为兴趣度的用户兴趣模型[J]. 计算机应用研究, 2016, 33(3):661-664. (XING L, SONG Z H, MA Q. User interest model based on hybrid behaviors interest rate[J]. Application Research of Computers, 2016, 33(3):661-664.)
[18] 樊重俊, 李佳婷, 霍良安,等. 谣言传播过程中官方媒体影响模型[J]. 计算机应用研究, 2016, 33(11):3364-3368. (FAN C J, LI J T, HUO L A, et al. Impact model of authoritative media in process of rumor spreading[J]. Application Research of Computers, 2016, 33(11):3364-3368.)
[19] 王筱莉, 赵来军, 吴忠. 非均匀网络中考虑辟谣机制的谣言传播模型[J]. 系统工程, 2015, 33(12):139-145. (WANG X L, ZHAO L J, WU Z. Rumor propagation model with considering refutation mechanism in inhomogeneous networks[J]. Systems Engineering, 2015, 33(12):139-145.)
[20] 腾讯. QQ浏览器大数据:谁都无法代表95后[EB/OL]. (2017-09-11)[2018-04-20]. http://money.163.com/17/0911/12/CU26BER8002580S6.html. (TENCENT. QQ browser big data:no one can represent post-95[EB/OL]. (2017-09-11)[2018-04-20]. http://money.163.com/17/0911/12/CU26BER 8002580S6.html.)
[21] DRIESSCHE P, WATMOUGH J. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission[J]. Mathematical Biosciences, 2002, 180(1/2):29-48.
[22] ROBINSON R C. An Introduction to Dynamical Systems:Continuous and Discrete[M]. Washington, DC:American Mathematical Society, 2012:24-32.
[23] LASALLE J P. The Stability of Dynamical Systems[M]. Philadelphia:Society for Industrial and Applied Mathematics, 1976:7-34.
[24] 王波, 王万良, 杨旭华. WS与NW两种小世界网络模型的建模及仿真研究[J]. 浙江工业大学学报, 2009, 37(2):179-182. (WANG B, WANG W L, YANG X H. Research of modeling and simulation on WS and NW small-world network model[J]. Journal of Zhejiang University of Technology, 2009, 37(2):179-182.)
[25] BATTY M. Cities as Complex Systems:Scaling, Interaction, Networks, Dynamics and Urban Morphologies[M]. New York:Springer, 2009:3-69.

基于个体兴趣度差异和辟谣机制的谣言传播模型

Rumor spread model considering difference of individual interest degree and refutation mechanism

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 12

编辑推荐

Metrics

[1]	李燕, 陈巧萍. 考虑非支持性评论的网络谣言传播模型[J]. 计算机应用, 2021, 41(4): 1128-1135.
[2]	刘风. 毒品滥用流行病模型的稳定性分析[J]. 计算机应用, 2019, 39(5): 1534-1539.
[3]	罗靖宇, 唐宁九. 基于边划分理论的谣言传播模型[J]. 计算机应用, 2019, 39(11): 3409-3414.
[4]	马宇红, 赵媛媛, 强亚蓉. 社交网络中谣言传播的从众效应和权威效应[J]. 计算机应用, 2019, 39(1): 232-238.
[5]	蔡秀梅, 刘超, 黄贤英, 刘小洋, 杨宏雨. 网络垃圾信息ILDR传播模型[J]. 计算机应用, 2018, 38(8): 2316-2322.
[6]	付伟, 王静, 潘晓中, 刘亚州. 动态同质网络上的SIR谣言传播模型[J]. 计算机应用, 2018, 38(7): 1951-1955.
[7]	刘亚州, 王静, 潘晓中, 付伟. 社交网络中考虑节点度的演化博弈[J]. 计算机应用, 2018, 38(4): 1029-1035.
[8]	万佑红, 王小初. 考虑从众效应的谣言传播模型[J]. 计算机应用, 2016, 36(9): 2381-2385.
[9]	石磊代琳娜卫琳陶永才曹仰杰. 微博污染检测模型[J]. 计算机应用, 2013, 33(06): 1558-1562.
[10]	张国良安雷汤文俊. 三轮驱动移动机器人轨迹跟踪控制[J]. 计算机应用, 2011, 31(08): 2293-2296.
[11]	钱厚斌张天平. 一类非线性时滞系统的鲁棒间接自适应控制[J]. 计算机应用, 2009, 29(1): 101-104,.
[12]	罗绪成 . RAP2P：一种基于资源广告的非结构化P2P系统[J]. 计算机应用, 2006, 26(11): 2578-2582.