社会网络中用户交互内容传播的信号博弈研究
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摘要
为探析社会网络环境下内容生产者与受众用户交互内容传播机制,针对网络社区中内容生产者信息内容创作生产和传播以及受众用户信息摄入的交互过程构建用户交互内容传播的信号博弈模型,通过对博弈动态系统的稳定性分析,明确在不同条件下博弈演化情形。结果表明,用户交互内容传播博弈的最终结果由内容生产者的利益支付、受众用户的效用支付、内容生产者发出虚假信号的概率三者间大小来判断。且当考虑内容生产者生产虚假内容的风险成本,网络社区作为信息传播组织者,进行质量把关有利于优质内容生产,提升网络社区使用的活跃度和积极性。
This paper explores the mechanism of interactive content dissemination between content producers and audiences in the context of social networks. A signaling game model of user interaction content dissemination is constructed for the interaction process of content producers' creation,production and dissemination of information,and audience user information intake in the online community. Through the analysis of the stability of the game dynamic system,the game evolution under different conditions is clearly defined. The final result of the user interaction content dissemination game is judged by the numeric of the content producer's benefit payment,the audience user's utility payment,and the probability that the content producer sends a false signal. And when considering the risk costs of content producers producing false content,the online community,as an information dissemination organizer,conducts quality checks that are conducive to the production of high-quality content and increase the liveliness and enthusiasm of the online community.
This paper explores the mechanism of interactive content dissemination between content producers and audiences in the context of social networks. A signaling game model of user interaction content dissemination is constructed for the interaction process of content producers' creation,production and dissemination of information,and audience user information intake in the online community. Through the analysis of the stability of the game dynamic system,the game evolution under different conditions is clearly defined. The final result of the user interaction content dissemination game is judged by the numeric of the content producer's benefit payment,the audience user's utility payment,and the probability that the content producer sends a false signal. And when considering the risk costs of content producers producing false content,the online community,as an information dissemination organizer,conducts quality checks that are conducive to the production of high-quality content and increase the liveliness and enthusiasm of the online community.
引文
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[2]Kumar K K,Geethakumari G.Information Diffusion Model for Spread of Misinformation in Online Social Networks[C].International Conference on Advances in Computing,Communications and Informatics.IEEE,2013:1172-1177.
[3]O'Leary D E.Modeling Retweeting Behavior as a Game:Comparison to Empirical Results[J].International Journal of Human-Computer Studies,2016(88):1-12.
[4]邱新有,陈旻.政府、传统媒体、微博信息博弈的纳什均衡——以温州动车事故为例[J].新闻与传播研究,2013(7):34-45.
[5]宾宁,王钰.社交网络正面信息传播及仿真研究——基于三方博弈视角[J].现代情报,2017(11):58-68.
[6]罗梦莹,夏志杰,翟玥等.博弈视角下社交媒体不实信息控制研究[J].情报科学,2017(9):44-48.
[7]王娟丽.网上公共危机伪信息的诱发因素以及在传播中的博弈均衡作用[J].情报资料工作,2018(1):105-109.
[8]任福兵.网络危机信息传播的基本规律分析[J].情报理论与实践,2014(4):42-47.
[9]娄策群,周承聪.信息生态链中的信息流转[J].情报理论与实践,2007(6):725-727.
[10]Harrington J E.Games,Strategies and Decision Making[M].New York:Worth Publishers,2015:89-92.
[11]张晋朝,李云云,谢佳琳.网络信息质量感知的信号博弈分析[J].情报理论与实践,2014(10):72-76.
[12]Martin,A.诺瓦克,李镇清,王世畅.进化动力学:探索生命的方程[M].北京:高等教育出版社,2010:42-45.
[13]沈阳,杨艳妮.中国网络意见领袖社区迁移影响因素及路径分析[J].国际新闻界,2016(2):6-22.