NetSE: Large: Collaborative Research: Contagion in large socio-communication networks

NetSE：大型：协作研究：大型社会通信网络中的传染

• 批准号: 1011769
• 负责人: Madhav Marathe
• 金额: $ 154.5万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1011769&HistoricalAwards=false
• 关键词: NetSE; Large; Collaborative; Research; Contagion

Simple contagion processes underlie various phenomena on complex networks, such as the spread of diseases on social-contact networks and information in communication networks; understanding their dynamics and developing control mechanisms are key issues in numerous applications. The goals of this proposal are: (i) Developing methods to construct synthetic relational networks using partial and noisy data; (ii) Understanding the structure of these networks and the contagion processes, and especially important network properties and typical patterns that have an impact on the dynamics of contagion; (iii) Developing techniques to control the spread of contagion processes, and to detect, prevent and arrest cascading failures in coupled socio-technical networks; and (iv) Understanding the co-evolution between the networks and dynamics, and using this to refine their models, and the strategies to control them. The broader impacts of this work include bridging the gap between the social sciences and computer science in addressing fundamental questions in complex networks, a corresponding enhancement to course curricula, and the involvement of students at all levels.

简单的传染过程是复杂网络上各种现象的基础，例如疾病在社会接触网络上的传播和信息在通信网络中的传播；了解它们的动态和发展控制机制是许多应用中的关键问题。这一建议的目标是：(I)开发利用部分和噪声数据构建合成关系网络的方法；(Ii)了解这些网络的结构和传染过程，特别是对传染动力学有影响的重要网络属性和典型模式；(Iii)开发控制传染过程传播的技术，并检测、预防和阻止耦合社会技术网络中的连锁故障；以及(Iv)了解网络和动力学之间的共同进化，并利用此来完善它们的模型和控制它们的策略。这项工作的更广泛影响包括弥合社会科学和计算机科学在解决复杂网络中的基本问题方面的差距，相应地改进课程课程，以及各级学生的参与。