ITR - (ASE+NHS) - (SIM+SOC): Characterizing the Dynamics of Complex Networks

ITR - (ASE NHS) - (SIM SOC)：描述复杂网络的动态特性

• 批准号: 0837678
• 负责人: Albert-Laszlo Barabasi
• 金额: --
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-31 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0837678&HistoricalAwards=false
• 关键词: ITR; ASE+NHS; SIM+SOC; Characterizing; Dynamics

This award supports theoretical and computational research and education and is made on a proposal submitted to the Division of Materials Research under the Information Technology Research solicitation NSF-04-012. Research activities covered by this award fall under the National Priority Area, "Advances in Science and Engineering," and the Technical Focus Area, "Innovation in Computational Modeling or Simulation in Research." It may also contribute to the National Priority Area, "National Homeland Security" and the Technical Focus Area, "Interactions and Complex Interdependencies of Information Systems and Societal Systems."The complex interdependencies characterizing natural, informational and communication systems not only impact all aspects of human activity, but offer a series of novel challenges for contemporary science. The increasing evidence that complex networks are shaped by quantifiable organizing principles has generated interest in all research fields where networks play a role, from statistical mechanics to computer science and biology. Yet, to fully understand the impact of interconnectivity, it must be recognized that each network has a purpose, facilitating material or information transfer between the nodes. These processes assign to each node and link a dynamical variable characterizing their time-dependent activity and force us to view networks as dynamical systems. While theunderstanding of network topology has significantly improved in the past four years, the characterization of network dynamics and transport is still in its infancy. The goal of the present award is to develop an integrated research program addressing the dynamical implications of networks in various complex technological, natural and social systems. The interplay between network topology, dynamics and function will be investigated through a series of extensive measurements, recording for several communication and social networks the detailed time-dependent activity at each node and link. Building on these multi-channel measurements, the research program will explore the basic mechanisms that govern the dynamics of complex networks; study the development of localized high activity regions or "hot spots"; explore the dynamical correlations between the system's components and study the impact of groups and communities on network dynamics; address the dynamic vulnerabilities of complex networks, studying various topological and dynamical avenues to limit the impact of component failures. Finally, a series of models and analytical methods will be developed, aiming to turn the empirical results into predictive tools.The research program will involve the participation of postdoctoral associates, graduate students and undergraduate students. Educational activities will be further integrated with research activities by conducting an intensive weeklong summer school for undergraduate and graduate students on the fundamental aspects and applications o network theory. Also, a series of web-based lecture notes will be developed, designed to be used both in specialized network courses and as modules in existing physics, computer science or biology courses that require network analysis. %%%This award supports theoretical and computational research and education and is made on a proposal submitted to the Division of Materials Research under the Information Technology Research solicitation NSF-04-012. Research activities covered by this award fall under the National Priority Area, "Advances in Science and Engineering," and the Technical Focus Area, "Innovation in Computational Modeling or Simulation in Research." It may also contribute to the National Priority Area, "National Homeland Security" and the Technical Focus Area, "Interactions and Complex Interdependencies of Information Systems and Societal Systems."The complex interdependencies characterizing natural, informational and communication systems not only impact all aspects of human activity, but offer a series of novel challenges for contemporary science. The increasing evidence that complex networks are shaped by quantifiable organizing principles has generated interest in all research fields where networks play a role, from statistical mechanics to computer science and biology. Yet, to fully understand the impact of interconnectivity, it must be recognized that each network has a purpose, facilitating material or information transfer between the nodes. These processes assign to each node and link a dynamical variable characterizing their time-dependent activity and force us to view networks as dynamical systems. While theunderstanding of network topology has significantly improved in the past four years, the characterization of network dynamics and transport is still in its infancy. The goal of the present award is to develop an integrated research program addressing the dynamical implications of networks in various complex technological, natural and social systems. The interplay between network topology, dynamics and function will be investigated through a series of extensive measurements, recording for several communication and social networks the detailed time-dependent activity at each node and link. Building on these multi-channel measurements, the research program will explore the basic mechanisms that govern the dynamics of complex networks; study the development of localized high activity regions or "hot spots"; explore the dynamical correlations between the system's components and study the impact of groups and communities on network dynamics; address the dynamic vulnerabilities of complex networks, studying various topological and dynamical avenues to limit the impact of component failures. Finally, a series of models and analytical methods will be developed, aiming to turn the empirical results into predictive tools.The research program will involve the participation of postdoctoral associates, graduate students and undergraduate students. Educational activities will be further integrated with research activities by conducting an intensive weeklong summer school for undergraduate and graduate students on the fundamental aspects and applications o network theory. Also, a series of web-based lecture notes will be developed, designed to be used both in specialized network courses and as modules in existing physics, computer science or biology courses that require network analysis. ***

该奖项支持理论和计算研究及教育，是根据信息技术研究征集 NSF-04-012 向材料研究部提交的提案而颁发的。该奖项涵盖的研究活动属于国家优先领域“科学与工程进展”和技术重点领域“计算建模或模拟研究的创新”。它还可能为国家优先领域“国家国土安全”和技术重点领域“信息系统和社会系统的相互作用和复杂的相互依赖性”做出贡献。自然、信息和通信系统的复杂相互依赖性不仅影响着自然、信息和通信系统的各个方面。人类活动，但为当代科学提出了一系列新的挑战。 越来越多的证据表明复杂网络是由可量化的组织原则塑造的，这引起了人们对网络发挥作用的所有研究领域的兴趣，从统计力学到计算机科学和生物学。 然而，为了充分理解互连性的影响，必须认识到每个网络都有一个目的，促进节点之间的物质或信息传输。 这些过程分配给每个节点并链接一个表征其时间依赖性活动的动态变量，并迫使我们将网络视为动态系统。 虽然过去四年对网络拓扑的理解有了显着提高，但网络动态和传输的表征仍处于起步阶段。本奖项的目标是开发一个综合研究项目，解决网络在各种复杂技术、自然和社会系统中的动态影响。 将通过一系列广泛的测量来研究网络拓扑、动力学和功能之间的相互作用，记录多个通信和社交网络每个节点和链路上详细的时间相关活动。 在这些多通道测量的基础上，该研究计划将探索控制复杂网络动态的基本机制；研究局部高活动区域或“热点”的发展；探索系统组件之间的动态相关性，并研究群体和社区对网络动态的影响；解决复杂网络的动态漏洞，研究各种拓扑和动态途径以限制组件故障的影响。 最后，将开发一系列模型和分析方法，旨在将实证结果转化为预测工具。该研究计划将涉及博士后、研究生和本科生的参与。 通过为本科生和研究生举办为期一周的集中暑期学​​校，学习网络理论的基本方面和应用，教育活动将进一步与研究活动结合起来。 此外，还将开发一系列基于网络的讲义，旨在用于专业网络课程以及作为需要网络分析的现有物理、计算机科学或生物学课程的模块。 %%%该奖项支持理论和计算研究及教育，是根据信息技术研究征集 NSF-04-012 向材料研究部提交的提案而颁发的。该奖项涵盖的研究活动属于国家优先领域“科学与工程进展”和技术重点领域“计算建模或模拟研究的创新”。它还可能为国家优先领域“国家国土安全”和技术重点领域“信息系统和社会系统的相互作用和复杂的相互依赖性”做出贡献。自然、信息和通信系统的复杂相互依赖性不仅影响着自然、信息和通信系统的各个方面。人类活动，但为当代科学提出了一系列新的挑战。 越来越多的证据表明复杂网络是由可量化的组织原则塑造的，这引起了人们对网络发挥作用的所有研究领域的兴趣，从统计力学到计算机科学和生物学。 然而，为了充分理解互连性的影响，必须认识到每个网络都有一个目的，促进节点之间的物质或信息传输。 这些过程分配给每个节点并链接一个表征其时间依赖性活动的动态变量，并迫使我们将网络视为动态系统。 虽然过去四年对网络拓扑的理解有了显着提高，但网络动态和传输的表征仍处于起步阶段。本奖项的目标是开发一个综合研究项目，解决网络在各种复杂技术、自然和社会系统中的动态影响。 将通过一系列广泛的测量来研究网络拓扑、动力学和功能之间的相互作用，记录多个通信和社交网络每个节点和链路上详细的时间相关活动。 在这些多通道测量的基础上，该研究计划将探索控制复杂网络动态的基本机制；研究局部高活动区域或“热点”的发展；探索系统组件之间的动态相关性，并研究群体和社区对网络动态的影响；解决复杂网络的动态漏洞，研究各种拓扑和动态途径以限制组件故障的影响。 最后，将开发一系列模型和分析方法，旨在将实证结果转化为预测工具。该研究计划将涉及博士后、研究生和本科生的参与。 通过为本科生和研究生举办为期一周的集中暑期学​​校，学习网络理论的基本方面和应用，教育活动将进一步与研究活动结合起来。 此外，还将开发一系列基于网络的讲义，旨在用于专业网络课程以及作为需要网络分析的现有物理、计算机科学或生物学课程的模块。 ***