ACT/SGER: (ACT - PHY) Characterizing Community Evolution and Communication Patterns in Social Networks

ACT/SGER：（ACT - PHY）描述社交网络中的社区演化和通信模式

• 批准号: 0441089
• 负责人: Albert-Laszlo Barabasi
• 金额: --
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0441089&HistoricalAwards=false
• 关键词: ACT; SGER; PHY; Characterizing; Community

The goal of the present research is to develop an exploratory program addressing the communication patterns of groups and communities in social networks. The interplay between network topology and communication will be investigated through extensive data collection efforts, capturing the detailed time dependent communication activity of each individual. Building on these measurements, the investigators will explore the basic mechanisms that govern community and group formation and the associated communication patterns. Particular attention will be paid to time dependent changes in the community structure and determining the likelihood of a given community's emergence, thereby distinguishing common from rare communities.With interdependencies developing in most technological, informational and social systems, networks are on everybody's mind these days. Previously unconnected computers and devices are being linked up; formerly scattered information is reorganized in consolidated databases; geographically isolated people with common interests form new virtual communities. The benefits of networks come with inevitable vulnerabilities, as local errors can propagate along the links, turning into global failures. Examples range from the recent Northeast blackout to computer and biological virus induced damages. Fighting terrorism also raises a number of novel networking problems, ranging from the discovery of terrorist cells to devising strategies to cripple an illegal organization. To advance the understanding of complex interconnected systems, the proposed research will develop a deep and quantitative description of the laws that govern the formation and function of communities in social networks and the standard communication patterns between individuals. The obtained results could have a strong impact on national security, and could have long range economic impact through the development of better tools to explore social networks.This award is supported jointly by the NSF and the Intelligence Community. The Approaches to Terrorism program in the Directorate for Mathematics and Physical Sciences supports new concepts in basic research and workforce development with the potential to contribute to national security.

本研究的目标是开发一个探索性计划，解决社交网络中群体和社区的沟通模式。将通过广泛的数据收集工作来研究网络拓扑和通信之间的相互作用，捕获每个人的详细的时间相关的通信活动。在这些测量的基础上，研究人员将探索管理社区和群体形成的基本机制以及相关的沟通模式。我们将特别关注社区结构随时间的变化，并确定特定社区出现的可能性，从而区分常见社区和稀有社区。随着大多数技术、信息和社会系统中相互依赖性的发展，网络如今已成为每个人的关注点。以前未连接的计算机和设备正在连接起来；以前分散的信息在统一数据库中重新组织；地理上孤立但具有共同兴趣的人们形成新的虚拟社区。网络的好处伴随着不可避免的漏洞，因为局部错误可以沿着链路传播，变成全局故障。例子包括最近的东北大停电以及计算机和生物病毒引起的损害。打击恐怖主义还引发了许多新的网络问题，从发现恐怖分子组织到制定削弱非法组织的策略。为了增进对复杂互连系统的理解，拟议的研究将对社交网络中社区的形成和功能的规律以及个体之间的标准通信模式进行深入和定量的描述。所获得的结果可能会对国家安全产生重大影响，并可能通过开发更好的工具来探索社交网络而产生长期的经济影响。该奖项由美国国家科学基金会和情报界共同支持。数学和物理科学局的“应对恐怖主义”计划支持基础研究和劳动力发展的新概念，有可能为国家安全做出贡献。