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作 者:张亮 缪嘉乐 吴剑云 陈昊 ZHANG Liang;MIAO Jia-le;WU Jian-yun;CHEN Hao(Business School,Qingdao University,Qingdao 266100,China)
出 处:《系统工程》2021年第5期1-10,共10页Systems Engineering
基 金:山东省自然科学基金资助项目(ZR2018MG005);山东省社科规划研究项目(20CTQJ3,20DGLJ02)。
摘 要:[目的/意义]互联网迷因是碎片化的网络文化单元。基于网民自发模仿和创造的行为,判明互联网迷因的传播机制,发挥其在网络舆论引导、文化传播和商业营销中的积极作用。[方法/过程]根据网民接触互联网迷因的状态,将其划分为易感者、接受者、模仿者、创新者和恢复者五个群体。建立SAMIR传染病模型并作平衡点分析。仿真研究了弱势和强势迷因的传播,以及模仿者创新率对互联网迷因传播的影响。通过两个迷因传播实例验证模型的有效性。[结果/结论]SAMIR模型刻画了互联网迷因传播过程中网民接受、模仿和创造行为的作用,揭示了各网民群体的状态转换规律。易于被网民接受和模仿的强势迷因能够达到更好的传播效果。网民创新行为在推动互联网迷因演化传播的同时也会令迷因的内容和形式出现不稳定的状态,但创新者对迷因传播的正向作用大于负向作用。[Purpose/Significance] Internet meme is a fragmented network cultural unit, which spreads rapidly through spontaneous imitation and creation by many netizens. To identify the communication mechanism of Internet memes is of great value in network public opinion detection, cultural communication and commercial marketing. [Methods/Process] According to netizens’ status of Internet memes, Internet memes are divided into five groups: susceptible, acceptor, mimic, innovator and restorer. The SAMIR epidemic model is established and the equilibrium point is analyzed. Simulation studies the spread of weak and strong memes, as well as the impact of mimic innovation rate on Internet meme transmission. The effectiveness of the model is verified by two meme propagation examples. [Results/Conclusion] SAMIR model can characterize netizens’ behavior of accepting, mimic and innovation of Internet memes and the state transferring rules. Strong memes are easier to be accepted and mimicked, and the spread scope and time are stronger than weak memes. The innovation behavior of netizens will not only promote the evolution and spread of Internet memes, but also make the content and form of memes unstable. However, the positive effect of innovators on meme propagation is greater than the negative one.
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