为了量化灾难易发社区的抗灾能力的沟通方面
Adaeze Okeukwu-Ogbonnaya1, George Amariucai2, Balasubramaniam Natarajan3
1Department of Computer Science, Kansas State University, Manhattan, KS, 66502, USA. adaeze@ksu.edu.
Scientific reports
|April 17, 2024
概括
农村,郊区和城市社区表现出不同的信息传播模式. 了解这些差异和通信源的可靠性是有效的灾难通信策略的关键.
科学领域:
- 计算社会科学 计算社会科学
- 网络科学 网络科学
- 灾难通信 灾难通信
背景情况:
- 有效的通信网络对于信息传播至关重要,特别是在灾难期间.
- 了解信息如何在不同的社区类型 (城市,郊区,农村) 中传播,对于公共安全至关重要.
- 现有的模型往往忽视了各种信息来源和社区特定的信任模式的微妙相互作用.
研究的目的:
- 模拟和比较城市,郊区和农村社区的信息传播动态.
- 分析各种信息来源 (在线社交网络,新闻媒体,政府) 对信息传播的影响.
- 根据社区特征,确定最佳策略来提高灾难沟通弹性.
主要方法:
- 利用随机模型在正常和灾难场景下模拟信息随时间的扩散.
- 利用来自美国中西部三个县的调查数据构建社区网络图表.
- 在这些网络中量化了节点到节点,源到节点的交互以及信任模式.
- 应用蒙特卡洛模拟来确定信息传播时间.
主要成果:
- 在社区类型之间,信息到达90%的人口的平均时间有显著差异.
- 揭示了信息来源的可用性和类型对信息传播速度产生了重大影响.
- 展示了任何单一信息源的丢失都会降低通信效率.
结论:
- 农村,郊区和城市社区具有固有的特征,这些特征会以不同的方式影响信息流动.
- 信息来源的可靠性和多样性是灾难通信有效性的关键因素.
- 对通信基础设施和战略进行量身定制的投资是必要的,以优化各种社区环境的防灾准备.
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