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和教育，并根据信息技术研究邀请NSF-04-012提交给材料研究部的提案。该奖项涵盖的研究活动属于国家优先领域，“科学与工程学的进步”以及技术重点领域，“计算建模或研究中的仿真创新”。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互动以及复杂的相互依存关系做出贡献。“表征自然，信息和交流系统的复杂相互依存关系不仅会影响人类活动的所有方面，而且还为当代科学带来了一系列新颖的挑战。 越来越多的证据表明，复杂的网络是通过可量化的组织原理塑造的，这对网络发挥作用的所有研究领域产生了兴趣，从统计力学到计算机科学和生物学。 但是，为了充分了解互连性的影响，必须认识到，每个网络都有目的，促进节点之间的材料或信息传输。 这些过程分配给每个节点并链接一个动态变量，该变量表征其时间相关的活动，并迫使我们将网络视为动态系统。 尽管在过去的四年中，网络拓扑的理解有了显着改善，但网络动态和运输的表征仍处于起步阶段。本奖项的目的是制定一项综合研究计划，以解决各种复杂技术，自然和社会系统中网络的动态含义。 网络拓扑，动力学和功能之间的相互作用将通过一系列广泛的测量结果进行研究，记录几个通信和社交网络，每个节点和链接处的详细时间相关活动。 在这些多通道测量的基础上，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，将开发一系列的模型和分析方法，旨在将经验结果转变为预测工具。研究计划将涉及博士后员工，研究生和本科生的参与。 教育活动将与研究活动进一步融合，通过针对本科生和研究生进行一所深度一周的暑期学校，涉及基本方面和应用o网络理论。 此外，还将开发一系列基于网络的讲座笔记，旨在在专门的网络课程中以及需要网络分析的现有物理，计算机科学或生物学课程中用作模块。 %%％该奖项支持理论和计算研究和教育，并根据信息技术研究招标NSF-04-012提交给材料研究部的提案。该奖项涵盖的研究活动属于国家优先领域，“科学与工程学的进步”以及技术重点领域，“计算建模或研究中的仿真创新”。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互动以及复杂的相互依存关系做出贡献。“表征自然，信息和交流系统的复杂相互依存关系不仅会影响人类活动的所有方面，而且还为当代科学带来了一系列新颖的挑战。 越来越多的证据表明，复杂的网络是通过可量化的组织原理塑造的，这对网络发挥作用的所有研究领域产生了兴趣，从统计力学到计算机科学和生物学。 但是，为了充分了解互连性的影响，必须认识到，每个网络都有目的，促进节点之间的材料或信息传输。 这些过程分配给每个节点并链接一个动态变量，该变量表征其时间相关的活动，并迫使我们将网络视为动态系统。 尽管在过去的四年中，网络拓扑的理解有了显着改善，但网络动态和运输的表征仍处于起步阶段。本奖项的目的是制定一项综合研究计划，以解决各种复杂技术，自然和社会系统中网络的动态含义。 网络拓扑，动力学和功能之间的相互作用将通过一系列广泛的测量结果进行研究，记录几个通信和社交网络，每个节点和链接处的详细时间相关活动。 在这些多通道测量的基础上，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，将开发一系列的模型和分析方法，旨在将经验结果转变为预测工具。研究计划将涉及博士后员工，研究生和本科生的参与。 教育活动将与研究活动进一步融合，通过针对本科生和研究生进行一所深度一周的暑期学校，涉及基本方面和应用o网络理论。 此外，还将开发一系列基于网络的讲座笔记，旨在在专门的网络课程中以及需要网络分析的现有物理，计算机科学或生物学课程中用作模块。 ***