SGER: Design and Analysis of Large Scale Complex Networks

SGER：大规模复杂网络的设计与分析

• 批准号: 0537992
• 负责人: Soundar Kumara
• 金额: --
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0537992&HistoricalAwards=false
• 关键词: SGER; Design; Analysis; Large; Scale

This Small Grant for Exploratory Research (SGER) provides funding for the development of new methods based on statistical mechanics of complex networks to address the problem of growing scale of engineered systems. In specific, supply chains, sensor networks and homeland security are considered as examples of large-scale engineered systems. The work will focus on two areas: 1. Information routing in weighted complex networks by developing efficient decentralized algorithms for sending and receiving information. 2. Survivability of complex networks by designing networks that have the ability to continue to operate effectively even under adverse or chaotic conditions. The project aims to develop an interdisciplinary graduate level course covering Physics, Mathematics and Engineered systems.If successful this research will create a new pathway to design and analyze large-scale engineered networks. The mathematical models for analyzing weighted networks will revolutionize how search will be done in any complex network. The results of this research can easily be migrated to applications as diverse as social networks to telecommunication networks. This is a significant point that will influence the society at large. In specific, this project's success will influence supply chains, homeland security and sensor networks design and analysis. This research, in the long run, will lead to formulating an inter-disciplinary program/institute to foster the study of large scale engineered systems from a complex networks point of view.

这项探索性研究小额赠款（SGER）为基于复杂网络统计力学的新方法的开发提供资金，以解决工程系统规模不断扩大的问题。具体而言，供应链、传感器网络和国土安全被认为是大规模工程系统的例子。工作将集中在两个方面：1。在加权复杂网络中的信息路由，通过开发有效的分散算法来发送和接收信息。 2.复杂网络的生存性，通过设计网络，即使在不利或混乱的条件下，也有能力继续有效地运行。该项目旨在开发一个跨学科的研究生水平课程，涵盖物理，数学和工程系统。如果成功，这项研究将创造一个新的途径来设计和分析大规模工程网络。分析加权网络的数学模型将彻底改变在任何复杂网络中进行搜索的方式。这项研究的结果可以很容易地迁移到各种应用程序，如社交网络电信网络。这是一个重要的问题，将影响整个社会。具体而言，该项目的成功将影响供应链，国土安全和传感器网络的设计和分析。从长远来看，这项研究将导致制定一个跨学科的计划/研究所，以促进从复杂网络的角度来看，大规模工程系统的研究。