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EAGER: SSDIM: Ensembles of Interdependent Critical Infrastructure Networks

EAGER：SSDIM：相互依赖的关键基础设施网络的集合

基本信息

批准号：
1745207
负责人：
Madhav Marathe
金额：
$ 20万
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：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2019-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745207&HistoricalAwards=false
关键词：
EAGER SSDIM Ensembles Interdependent Critical

项目摘要

The need to represent and analyze socially coupled interdependent infrastructure networks poses significant scientific and technical challenges. A central challenge is the lack of realistic data sets that represent the networks, their interactions, and the points of connection with consumers. This EArly-concept Grant for Exploratory Research (EAGER) project will develop ensembles of such coupled systems, along with methods to assess concerns of data quality and validity. Ensembles of coupled power and communication networks will provide realistic data for algorithm development. The tools and techniques developed under the project will also be disseminated to the broader community of analysts and researchers interested in the science and engineering of complex networks. The work will result in unique open-access realistic data sets for the academic and other interested communities. This project will develop mathematical techniques and associated algorithms for generating ensembles of infrastructure networks and social interactions. It will also yield methods for the validation and verification of these interdependent synthetic populations and network ensembles. A key focus will be on large, realistic power and communication networks. This work will lead to highly scalable, data-driven, dynamic methods for sensitivity analysis, uncertainty quantification, and verification and validation. The research will provide data to support new ways of characterizing and assessing vulnerabilities inherent in today's societal infrastructures. The ensemble of realistic networks will facilitate the study of vulnerabilities resulting from interdependencies among infrastructures as well as from vulnerabilities and risks that result from interaction of individuals with the infrastructure as well with each other.

表示和分析社会耦合的相互依赖的基础设施网络的需要带来了重大的科学和技术挑战。一个主要挑战是缺乏代表网络、网络交互以及与消费者的连接点的真实数据集。这个早期概念探索性研究资助（EAGER）项目将开发此类耦合系统的集合，以及评估数据质量和有效性问题的方法。耦合电力和通信网络的集合将为算法开发提供真实的数据。该项目开发的工具和技术也将传播给对复杂网络科学和工程感兴趣的更广泛的分析师和研究人员社区。这项工作将为学术界和其他感兴趣的社区带来独特的开放获取的现实数据集。该项目将开发数学技术和相关算法，用于生成基础设施网络和社交互动的集合。它还将产生用于验证和验证这些相互依赖的合成群体和网络集合的方法。重点关注大型、现实的电力和通信网络。这项工作将带来高度可扩展、数据驱动的动态方法，用于敏感性分析、不确定性量化以及验证和确认。该研究将提供数据来支持表征和评估当今社会基础设施固有脆弱性的新方法。现实网络的集合将有助于研究基础设施之间的相互依赖性以及个人与基础设施以及彼此之间的交互所造成的脆弱性和风险。

项目成果

期刊论文数量（17）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

SIMULATING RESIDENTIAL ENERGY DEMAND IN URBAN AND RURAL AREAS

DOI：
10.1109/wsc.2018.8632203
发表时间：
2018-12
期刊：
2018 Winter Simulation Conference (WSC)
影响因子：
0
作者：
S. Thorve;S. Swarup;A. Marathe;Youngyun Chungbaek;E. Nordberg;M. Marathe
通讯作者：
S. Thorve;S. Swarup;A. Marathe;Youngyun Chungbaek;E. Nordberg;M. Marathe

Formal Analysis of Segregation of Duties ( SoD ) in Accounting: A Computational Approach

DOI：
10.1111/abac.12190
发表时间：
2020-06
期刊：
Abacus
影响因子：
0
作者：
Rosemary Kim;J. Gangolly;S. Ravi;D. Rosenkrantz
通讯作者：
Rosemary Kim;J. Gangolly;S. Ravi;D. Rosenkrantz

图动力系统中类似配置的演化

DOI：
发表时间：
2020
期刊：
International Conference on Complex Networks and Their Applications
影响因子：
0
作者：
Priest, J;Marathe, M;Ravi, SS;Rosenkrantz, D;Stearns, R
通讯作者：
Stearns, R

Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems

DOI：
10.1609/aaai.v34i04.5710
发表时间：
2020-04
期刊：
影响因子：
0
作者：
Abhijin Adiga;C. Kuhlman;M. Marathe;S. Ravi;D. Rosenkrantz;R. Stearns;A. Vullikanti
通讯作者：
Abhijin Adiga;C. Kuhlman;M. Marathe;S. Ravi;D. Rosenkrantz;R. Stearns;A. Vullikanti

Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems