The Structure and Dynamics of Social Networks and Other Networked Systems
社交网络和其他网络系统的结构和动态
基本信息
- 批准号:0804778
- 负责人:
- 金额:$ 15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-15 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research funded under this grant will focus on the mathematical analysis and modeling of the structure of networks such as social networks and computer networks. Three specific projects form the core of the work to be undertaken. The first will develop computer algorithms for the detection and analysis of dense subgraphs within networks, also called modules or communities, which, in addition to providing a window on large-scale network structure, can serve as a foundation for coarse-graining techniques, visualization, graph layout, and automated network summarization and feature extraction in large network data sets. The second project will look at the resilience of networks to the failure of network nodes, a topic that has direct applications in communications networks such as the Internet as well as in the theory of the spread of disease through social networks. The project will look in particular at the resilience created by the existence of multiple independent paths in networks and the related graph theoretical concept of k-components. The third project will focus on the development of exploratory analysis methods for discovering structure in large network data sets in an unsupervised fashion, making use of machine learning and statistical techniques. These techniques are aimed at the extraction of new knowledge from experimental network data sets such as large-scale social networks or biological networks.Networks occur widely in the sciences and technology. The Internet, the World Wide Web, online social networks, and the biological networks that power living cells are just a few of the examples that have grabbed headlines in the last few years. The research funded under this grant focuses on the development of both fundamental new mathematics and practical computer methods for understanding and analyzing the wealth of network data that is becoming available to scientists. A significant problem with our current understanding of networks is created by the sheer size of many of the networks we are faced with. The web, for example, has nodes numbering in the billions, and a complete visualization of the entire network is impossible with current resources (and probably wouldn't be very useful even if it were possible). The techniques to be developed here focus on answering the question of what a network "looks like," even when we can't look at it directly. One project will focus on "modules" in networks -- groups of tightly connected nodes, which may correspond to cliques or communities in a social network or functional modules in a biological network -- and will develop computer methods for automatically discovering these modules, allowing the experimenter to uncover the large-scale structure of a network. Another project will look at resilience of networks to the failure of their nodes, an issue that is of prime importance for the maintenance of functioning communication networks and is also related to the development of efficient vaccination strategies to prevent the spread of disease over social networks. A third project will develop automated methods for revealing hitherto unseen regularities in the connection patterns between nodes, allowing scientists to extract useful information from network data even in emerging areas where our current understanding is very incomplete.
这项资助的研究将集中于网络结构的数学分析和建模,如社会网络和计算机网络。三个具体项目构成了将要开展的工作的核心。第一个将开发用于网络中密集子图的检测和分析的计算机算法,也称为模块或社区,除了提供大规模网络结构的窗口外,还可以作为粗粒度技术,可视化,图形布局以及大型网络数据集中自动网络摘要和特征提取的基础。第二个项目将研究网络对网络节点故障的恢复能力,这一主题在互联网等通信网络以及通过社交网络传播疾病的理论中有直接应用。该项目将特别关注网络中存在多条独立路径所产生的弹性以及相关的k分量图理论概念。第三个项目将侧重于开发探索性分析方法,利用机器学习和统计技术,以无监督的方式发现大型网络数据集的结构。这些技术旨在从实验网络数据集(如大规模社会网络或生物网络)中提取新知识。网络在科学技术中广泛存在。互联网、万维网、在线社交网络,以及为活细胞提供能量的生物网络,这些只是过去几年里占据头条新闻的几个例子。该基金资助的研究重点是发展基础的新数学和实用的计算机方法,以理解和分析可供科学家使用的丰富的网络数据。我们目前对网络理解的一个重大问题是由于我们所面临的许多网络的庞大规模造成的。例如,网络有数十亿个节点,以目前的资源完全可视化整个网络是不可能的(即使可能,也可能不是很有用)。这里要开发的技术侧重于回答网络“看起来像什么”的问题,即使我们不能直接看到它。一个项目将专注于网络中的“模块”——紧密连接的节点组,它们可能对应于社会网络中的派系或社区,或生物网络中的功能模块——并将开发自动发现这些模块的计算机方法,使实验者能够揭示网络的大规模结构。另一个项目将着眼于网络对其节点故障的恢复能力,这一问题对于维持通信网络的功能至关重要,也与制定有效的疫苗接种战略以防止疾病在社会网络上传播有关。第三个项目将开发自动化方法,以揭示节点之间连接模式中迄今为止未见的规律,使科学家能够从网络数据中提取有用的信息,即使是在我们目前的理解非常不完整的新兴领域。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mark Newman其他文献
Comment on _Self-organized criticality in living systems_ by C. Adami
C. Adami 对“生命系统中的自组织临界性”的评论
- DOI:
- 发表时间:
1997 - 期刊:
- 影响因子:0
- 作者:
Mark Newman;S. Fraser;K. Sneppen;William A. Tozier - 通讯作者:
William A. Tozier
Efficacy and safety of using auditory-motor entrainment to improve walking after stroke: a multi-site randomized controlled trial of InTandemTM
使用听觉运动牵引改善中风后行走的功效和安全性:InTandemTM 的多中心随机对照试验
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:16.6
- 作者:
Louis N. Awad;Arun Jayaraman;Karen J Nolan;Michael D Lewek;Paolo Bonato;Mark Newman;D. Putrino;Preeti Raghavan;Ryan T Pohlig;Brian A Harris;Danielle A Parker;Sabrina R Taylor - 通讯作者:
Sabrina R Taylor
Coherent noise, scale invariance and intermittency in large systems
大型系统中的相干噪声、尺度不变性和间歇性
- DOI:
10.1016/s0167-2789(97)00128-0 - 发表时间:
1996 - 期刊:
- 影响因子:0
- 作者:
K. Sneppen;Mark Newman - 通讯作者:
Mark Newman
Distribution of non-myelinating Schwann cells and their associations with leukocytes in mouse spleen revealed by immunofluorescence staining
免疫荧光染色揭示小鼠脾脏中非髓鞘雪旺细胞的分布及其与白细胞的关系
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:2
- 作者:
Bin Ma;Changfu Yin;D. Hu;Mark Newman;P. Nicholls;Zhanjun Wu;W. Greene;Zhongli Shi - 通讯作者:
Zhongli Shi
A ‘Patchy’ Approach to Chest Wall Resection and Reconstruction for Malignancy
- DOI:
10.1016/j.hlc.2017.03.081 - 发表时间:
2017-01-01 - 期刊:
- 影响因子:
- 作者:
Gianna Pastore;Laura Fong;Mark Newman;Lucas Sanders - 通讯作者:
Lucas Sanders
Mark Newman的其他文献
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{{ truncateString('Mark Newman', 18)}}的其他基金
Structure and Function in Large-Scale Complex Networks
大规模复杂网络的结构和功能
- 批准号:
2005899 - 财政年份:2020
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Broad-Scale Modeling of Complex Networks
复杂网络的大规模建模
- 批准号:
1710848 - 财政年份:2017
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Large scale structure in complex networks
复杂网络中的大规模结构
- 批准号:
1407207 - 财政年份:2014
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
CAREER: Improving the Development Process for Context-Aware Systems with Integrated Capture and Playback
职业:通过集成捕获和回放改进上下文感知系统的开发流程
- 批准号:
1149601 - 财政年份:2012
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Large-scale structure in complex networks
复杂网络中的大规模结构
- 批准号:
1107796 - 财政年份:2011
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
HCC: Medium: Collaborative Configuration: Supporting End-User Control of Complex Computing
HCC:中:协作配置:支持复杂计算的最终用户控制
- 批准号:
0905460 - 财政年份:2009
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
Desegregating Dixie: Southern Catholics and Desegregation, 1945-1980
废除迪克西种族隔离:南方天主教徒和废除种族隔离,1945 年至 1980 年
- 批准号:
AH/E004970/1 - 财政年份:2008
- 资助金额:
$ 15万 - 项目类别:
Research Grant
"Structure and Dynamics of Social Networks and Other Networked Systems."
“社交网络和其他网络系统的结构和动态。”
- 批准号:
0405348 - 财政年份:2004
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Structure and Dynamics of Social Networks and Other Networked Systems
社交网络和其他网络系统的结构和动态
- 批准号:
0234188 - 财政年份:2002
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
Structure and Dynamics of Social Networks and Other Networked Systems
社交网络和其他网络系统的结构和动态
- 批准号:
0109086 - 财政年份:2001
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
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