系统仿真学报 ›› 2018, Vol. 30 ›› Issue (10): 3616-3624.doi: 10.16182/j.issn1004731x.joss.201810003

• 专栏:社会系统仿真 • 上一篇    下一篇

跨学科视角下的网络舆情仿真研究

何凌南1, 赖凯声1, 林仲轩1, 熊希灵2   

  1. 1. 中山大学传播与设计学院,广东省舆情大数据分析与仿真重点实验室,广东 广州 510006;
    2. 中山大学心理学系,广东 广州 510006
  • 收稿日期:2018-08-21 修回日期:2018-09-13 出版日期:2018-10-10 发布日期:2019-01-04
  • 作者简介:何凌南(1981-),男,湖南邵阳,博士,讲师,硕导,研究方向为网络舆情大数据分析、网络谣言与风险控制、网民性格画像等。
  • 基金资助:
    国家社会科学一般项目基金(17BXW067)

Research on Network Public Opinion Simulation from Interdisciplinary Perspective

He Lingnan1, Lai Kaisheng1, Lin Zhongxuan1, Xiong Xiling2   

  1. 1. School of Communication and Design, Sun Yat-Sen University, Guangdong key Laboratory for Big Data Analysis and Simulation of Public Opinion, Guangzhou 510006, China;
    2. Department of Psychology, Sun Yat-Sen University, Guangzhou 510006, China
  • Received:2018-08-21 Revised:2018-09-13 Online:2018-10-10 Published:2019-01-04

摘要: 网络舆情仿真呈现出多学科交叉的发展趋势,网络舆情一方面在数据上体现出强自然科学属性,另一方面其参与主体为社会人,具有强社会科学属性。但目前模型多来自于系统动力学、马尔科夫模型、小世界理论、SIS模型等自然科学领域,缺乏对舆情传播主体心理因素的描述。以主体信息传播中的心理建模为切入点,介绍了心理学的大五人格、传播学的媒介素养、意见领袖、创新扩散等理论,并以心理距离为例论述了心理学在主体建模中的应用,希望有助于从社会学科的视角丰富未来网络舆情仿真主体模型的构建,为未来跨学科视角的网络舆情仿真研究提供思路和实现路径。

关键词: 网络舆情仿真, 主体建模, 心理学, 传播学

Abstract: The simulation of network public opinion shows a trend of interdisciplinary development. On the one hand, the method of data analysis in network public opinion belongs to natural science; on the other hand, participants are social people and have strong social scientific attributes. However, at present, most of the simulation models come from the natural science fields such as system dynamics, Markov model, small-world theory and SIS model, etc. This paper introduces the big five personality of psychology, media literacy of communication, opinion leaders and diffusion of innovation theory, taking the psychological modeling in the dissemination of the main information as the breakthrough point. It provides ideas and available paths for future research of the simulation of network public opinion from an interdisciplinary perspective.

Key words: online public opinion simulation, subject modeling, psychology, communication

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