数字社会社会互动和信任分析模型
Aseem Kumar1, Arun Malik1, Isha Batra1
1School of Computer Science and Engineering, Lovely Professional University, Phagwara, India.
PeerJ. Computer science
|June 22, 2023
概括
本研究引入了一个计算模型,通过分析信任动态来绘制社会行为的地图. 数字社会信任分析 (D.S.T.A.) 的研究. 该模型有助于在COVID-19等危机期间理解数字社会.
科学领域:
- 计算社会科学 计算社会科学
- 社会学 社会学 社会学
- 信息科学 信息科学 信息科学
背景情况:
- 社会结构在前所未有的事件中面临重大压力,例如COVID-19大流行.
- 越来越需要提高未来的可预测性,减少利益相关者之间的不确定性.
- 了解社会动态,特别是信任,在数字环境中至关重要.
研究的目的:
- 开发一种用于分析数字社会中信任动态的计算模型.
- 通过计算"信任"的情绪来绘制社会行为的地图.
- 提高对信任如何影响危机和错误信息期间的群体行为的理解.
主要方法:
- 构建一个名为数字社会信任分析 (DSTA) 的计算模型. ) 的情况.
- 从现有模型中整合概念,如舍林分离模型和临界点.
- 配置和实施一个模型来分析信任作为社会行为指标.
主要成果:
- 这就是DSTA的DSTA. 该模型为理解信任动态提供了一个框架.
- 该模型的设计是为了简单的配置和实现.
- 它提供了对受流行病和假新闻等因素影响的社会行为的见解.
结论:
- 这就是DSTA的DSTA. 该模型增强了对数字社会动态,特别是信任的理解.
- 该模型可用于分析社会对错误信息和流行病等复杂挑战的反应.
- 它作为一个工具来预测和管理社会行为在不确定的时间.
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