本文關(guān)鍵詞：熟悉機(jī)制、媒體及辟謠者對(duì)謠言傳播影響的研究　出處：《江蘇大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 謠言傳播 熟悉度 接觸率 媒體影響 辟謠者

【摘要】：近些年來由于社交媒體的發(fā)展,謠言的傳播導(dǎo)致社會(huì)恐慌以及動(dòng)亂的事件層出不窮,給國家和社會(huì)帶來了巨大的經(jīng)濟(jì)損失。因而研究謠言傳播機(jī)理及影響謠言傳播的因素具有重要的現(xiàn)實(shí)意義。本文通過分析個(gè)體本身(辟謠者)、個(gè)體之間的熟悉度與接觸率、官方與非官方媒體的作用等因素對(duì)謠言在隨機(jī)網(wǎng)絡(luò)中傳播的影響,建立了不同的謠言傳播模型,基于平均場(chǎng)方法分析了模型的穩(wěn)定性,模擬結(jié)果顯示這三類影響因素都對(duì)謠言的傳播范圍有著明顯的影響。具體如下:(1)運(yùn)用平均場(chǎng)方程建立SEIR謠言傳播模型,通過考慮個(gè)體之間的熟悉度及接觸概率,研究謠言傳播的機(jī)理,發(fā)現(xiàn)熟悉度與最終謠言的傳播范圍成正比,接觸率與最終謠言的傳播范圍成反比。通過對(duì)平均場(chǎng)方程的穩(wěn)定性分析得到一個(gè)超越方程,分析了超越方程的一個(gè)非零解。結(jié)果表明當(dāng)?(27)1時(shí)謠言是可控的;當(dāng)?(29)1時(shí)謠言是不可控的。(2)運(yùn)用平均場(chǎng)方程建立SEIR謠言傳播模型,通過考慮官方與非官方媒體因素,研究謠言傳播的機(jī)理。模擬結(jié)果顯示非官方媒體不僅可以改變謠言擴(kuò)散的速度,也可以減小最終謠言擴(kuò)散的范圍;官方媒體只能減少傳播者的數(shù)量而不能抑制謠言傳播的速度。在謠言傳播中監(jiān)督管理好非官方媒體比起官方媒體的辟謠更能快速有效的阻止謠言的擴(kuò)散。(3)運(yùn)用平均場(chǎng)方法描述了謠言傳播的動(dòng)態(tài)演化過程,建立SIR1R2謠言傳播模型,通過考慮辟謠者這類個(gè)體,研究謠言傳播的機(jī)理。通過穩(wěn)定性分析求出了謠言傳播閾值,發(fā)現(xiàn)傳播閾值與平均度和遺忘率有關(guān)。分析了辟謠者在模型中的作用,得出辟謠者在謠言的傳播中起到抑制作用,可以有效的阻止謠言的擴(kuò)散。
[Abstract]:In recent years due to the development of social media, the spread of rumors to cause social panic and unrest emerge in an endless stream, bring huge economic losses to the state and society. So it has important practical significance to study the mechanism and influence factors of the spread of rumors rumor. Through the analysis of the individual itself (rumor), and familiarity between individuals the contact rate, official and non official media the role of influence factors on the spread of rumors in the random network, a rumor propagation model is different, the mean field method based on the analysis of the stability of the model, the simulation results show that there are obvious the influence of three factors on the spread of rumors. The details are as follows: (1) using the mean field equations SEIR rumor propagation model, by considering the individual between familiarity and contact probability, study on the mechanism of the spread of rumors, found that familiarity with the The final rumors spread range is proportional to the contact rate and the final rumors spread range is inversely proportional to a transcendental equation based on the analysis of the stability of mean field equations, analysis of the transcendental equation for a non-zero solution. The results show that when? (27) 1 when rumors are controlled; when? (29) 1 when the rumor is not controllable. (2) using the mean field equations SEIR rumor propagation model, by considering the official and non official media factors, study on the mechanism of the spread of rumors. The simulation results show that the non official media can not only change the speed range of the spread of rumors, can also reduce the final spread of rumors; official media can only reduce the number of transmission who cannot suppressrumors speed. The supervision and management of non official media than the official media rumor on rumor spreading more quickly and effectively prevent the spread of rumors. (3) using the mean field method to describe the spread of rumors The dynamic evolution process, the establishment of SIR1R2 model by considering the spread of rumors, rumor of this kind of individual, study on the mechanism of the spread of rumors. By the analysis of stability for the rumor spreading threshold, found spreading threshold and average degree and forgetting rate. Analysis of the rumor role in the model, the rumor has inhibitory effect on the spread of rumors, can effectively prevent the spread of rumors.

【學(xué)位授予單位】：江蘇大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：G206;O157.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 宋之杰;王建;賈杰;;基于SIHR_1R_2的突發(fā)事件謠言傳播研究[J];情報(bào)雜志;2016年03期

2 吳騰飛;周昌樂;王小華;黃孝喜;諶志群;王榮波;;基于平均場(chǎng)理論的微博傳播網(wǎng)絡(luò)模型[J];物理學(xué)報(bào);2014年24期

3 王輝;韓江洪;鄧林;程克勤;;基于移動(dòng)社交網(wǎng)絡(luò)的謠言傳播動(dòng)力學(xué)研究[J];物理學(xué)報(bào);2013年11期

4 ;PREVENTING RUMOR SPREADING ON SMALL-WORLD NETWORKS[J];Journal of Systems Science & Complexity;2011年03期

5 張芳;司光亞;羅批;;謠言傳播模型研究綜述[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2009年04期

，

本文編號(hào)：1399947