基于元胞自动机的音乐传播模式仿真研究
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摘要
传统音乐传播模式存在群众传播不积极、传播模式复杂等问题,为此,提出基于元胞自动机的音乐传播模式仿真研究。结合音乐传播的复杂性,利用元胞自动机基本原理构建动态模型,从中心度、关系强度两个方面对传播效果进行仿真实验。通过实验验证该模式的合理性,并由此得出结论。实验结果表明,在元胞空间弱关系条件下,音乐传播模式可具有良好的传播效率、模式简单,且群众核心人物对音乐传播的积极行为显著大于边缘位置参与群的积极性,为音乐传播模式提供了有效途径。
Since the traditional music propagation mode has the problems of inactive mass propagation and complex propagation mode,the simulation study on music propagation mode based on cellular automata is proposed. In combination with music propagation complexity,the basic principle of cellular automata is used to construct the dynamic model. The simulation experiment was performed for propagation effect in the aspects of centrality and relationship strength. The rationality of the mode was verified in the experiment to get the conclusion. The experimental results show that,under the weak ties condition of cellular space,the music propagation mode has high propagation efficiency and is simple,and the positive behavior of mass central figures for music propagation is significantly greater than that of participation masses in edge position,which provides an effective way for music propagation.
Since the traditional music propagation mode has the problems of inactive mass propagation and complex propagation mode,the simulation study on music propagation mode based on cellular automata is proposed. In combination with music propagation complexity,the basic principle of cellular automata is used to construct the dynamic model. The simulation experiment was performed for propagation effect in the aspects of centrality and relationship strength. The rationality of the mode was verified in the experiment to get the conclusion. The experimental results show that,under the weak ties condition of cellular space,the music propagation mode has high propagation efficiency and is simple,and the positive behavior of mass central figures for music propagation is significantly greater than that of participation masses in edge position,which provides an effective way for music propagation.
引文
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[2]江耘,王紫嫣.基于元胞自动机的网络舆情传播研究[J].江西社会科学,2015,35(10):207-210.JIANG Geng,WANG Ziyan.Research on communication of network public opinion based on cellular automata[J].Jiangxi social sciences,2015,35(10):207-210.
[3]邓青,刘艺,马亚萍,等.基于元胞自动机的网络信息传播和舆情干预机制研究[J].管理评论,2016,28(8):106-114.DENG Qing,LIU Yi,MA Yaping,et al.Information propagation and intervention on online social networks using cellular automata[J].Management review,2016,28(8):106-114.
[4]苏加福,杨育,张娜.基于异质元胞自动机的知识协同团队隐性知识扩散研究[J].管理学报,2017,14(2):245-253.SU Jiafu,YANG Yu,ZHANG Na.Study on the tacit knowledge diffusion in knowledge collaboration team based on heterogeneous cellular automata[J].Chinese journal of management,2017,14(2):245-253.
[5]蔡江宁.自媒体环境下音乐的传播模式与特征[J].新闻战线,2016,15(20):152-153.CAI Jiangning.The communication mode and characteristics of music in self-media environment[J].The press,2016,15(20):152-153.
[6]DING N,CHEN T,ZHANG H.Simulation of high-rise building evacuation considering fatigue factor based on cellular automata:a case study in China[J].Building simulation,2017,10(3):1-12.
[7]朱毅华,张超群.基于影响模型的网络舆情演化与传播仿真研究[J].情报杂志,2015,34(2):28-36.ZHU Yihua,ZHANG Chaoqun.An application of impact model to simulating the evolution and dissemination[J].Journal of intelligence,2015,34(2):28-36.
[8]李康燕.传播学视角下少数民族地区音乐的传承与发展[J].贵州民族研究,2016,37(5):91-94.LI Kangyan.The inheritance and development of music in minority regions from the perspective of communication[J].Guizhou ethnic studies,2016,37(5):91-94.
[9]刘燕.基于新媒体环境下的音乐传播创新路径探索[J].传媒,2017,56(5):62-63.LIU Yan.Exploration of the path of music communication innovation based on the new media environment[J].Media,2017,56(5):62-63.
[10]LI C,LI J,HU L,et al.Visualization and simulation model of underground mine fire disaster based on cellular automata[J].Applied mathematical modelling,2015,39(15):4351-4364.