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| The Evolution of Rumor Spread on Micrblog Based on Small-World Network |
| LIU Yongmei1, PENG Lin1, ZHAO Zhenjun1,2
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1. School of Business Administration, Central South University, Changsha 410012, China;
2. School of Management, Hunan University of Science and Technology, Xiangtan 411201, China |
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Abstract This article focuses on the evolution of the rapid rumor spread on the microblog and the key factors affecting the spread of rumors. Based on the model of infectious diseases, expanded the people to the five class （ignorant, infected, contacted, exhausted, resistant), add the coefficient of interest decay to the model, and the individual just can be forward the rumor once. To verify the validity of the model, we made the multi-agent simulation, and made comparison to the simulation data and the data from two real cases. We found the model can be fit reality well. Through simulation experiments, the coefficients of different factors were analyzed and found that the coefficient of interest decay, the first forwarding probability and the properties of small-world networks can significantly affect the evolution of the spread.
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Received: 30 August 2013
Published: 22 June 2026
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[1] 上海交通大学新媒体与社会研究中心[R]. 2011年中国微博年度报告.
Center for new media and social research at the Shanghai Jiao Tong University[R]. The 2011 Annual report about Chinese Microblag, 2011.
[2] 上海交通大学新媒体与社会研究中心[R]. 2012年中国微博年度报告. Center for new media and social research at the Shanghai Jiao Tong University[R]. The 2011 Annual report about Chinese Microblag, 2012.
[3] Gordon W Allport, Leo Postman. The Psychology of Rumor[M]. America:Russell & Russell Pub, 1947.
[4] Daley D J, Kendall D G. Epidemics and rumours[J]. Nature, 1964, 204:1118.
[5] Gani J. The Maki-Thompson rumour model:a detailed analysis[J]. Environmental Modelling & Software, 2000, 15（8):721-725.
[6] Xiong F, Liu Y, Zhang Z J, et al. An information diffusion model based on retweeting mechanism for online social media[J]. Physics Letters A, 2012, 376（30/31):2103-2108.
[7] Zhao L J, Wang J J, Chen Y C, et al. SIHR rumor spreading model in social networks[J]. Physica A:Statistical Mechanics and its Applications, 2012, 391（7):2444-2453.
[8] Kawachi K, Seki M, Yoshida H, et al. A rumor transmission model with various contact interactions[J]. Journal of Theoretical Biology, 2008, 253（1):55-60.
[9] Zhao L J, Cui H X, Qiu X Y, et al. SIR rumor spreading model in the new media age[J]. Physica A:Statistical Mechanics and Its Applications, 2013, 392（4):995-1003.
[10] Roshani F, Naimi Y. Effects of degree-biased transmission rate and nonlinear infectivity on rumor spreading in complex social networks[J]. Physical Review E, 2012, 85（3) :036109.
[11] Barros L C D, Leite M B F, Bassanezi R C. The SI epidemiological models with a fuzzy transmission parameter[J]. Computers & Mathematics with Applications, 2003, 45（10/11):1619-1628.
[12] Mislove A, Marcon M, Gummadi K R, et al. Measurement and analysis of online social networks[C]// Imc'07:Proceedings of the 2007 Acm Sigcomm Internet Measurement Conference. New York,USA,2007:29-42.
[13] Fan P Y, Li P, Jiang Z H, et al. Measurement and analysis of topology and information propagation on Sina-Microblog[C]// Intelligence and Security Informatics （ISI), 2011 IEEE International Conference on Intelligence and Security Informatics. Beijing,China, 2011:396-401.
[14] Yang K, Zhang N. The analysis of the structure of micro-blog users relation networks[C]. Proceedings of the International Conference on Computer, Networks and Communication Engineering. Beijing,China,2013:363-366.
[15] Dodds P S, Watts D J. Universal behavior in a generalized model of contagion[J]. Physical Review Letters, 2004, 92（21) :218701.
[16] Wu F, Huberman B A. Novelty and collective attention[J]. Proceedings of the National Academy of Sciences, 2007, 104（45):17599-17601.
[17] Lü L Y, Chen D B, Zhou T. The small world yields the most effective information spreading[J]. New Journal of Physics, 2011, 13（12):123005.
[18] Wang H, Deng L, Xie F, et al. A new rumor propagation model on SNS structure[C]// Granular Computing （GrC), 2012 IEEE International Conference on Cranular Computing.Hangzhou,China. 2012:499-503.
[19] 王辉, 韩江洪, 邓林, 等. 基于移动社交网络的谣言传播动力学研究[J]. 物理学报, 2013（11):106-117.
Wang hui, Han Jianghong, Deng Lin, et al. Pynamics of rumor spreading in mobile social networks[J]. Acta Physica Sinica, 2013（11):106-117.
[20] Jean-Noel K. Rumors:Uses, Interpretations, and Images[M]. France:Transaction Publishers, 1990:50-63. |
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