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.

本研究的目的是制定探索性计划，以解决社交网络中群体和社区的沟通模式。网络拓扑与通信之间的相互作用将通过广泛的数据收集工作进行研究，从而捕获每个人的详细时间依赖时间的沟通活动。在这些测量值的基础上，调查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。将特别关注社区结构的时间依赖性变化，并确定给定社区出现的可能性，从而使人与稀有社区区分开来。与大多数技术，信息性和社会系统发展中的相互依存关系相互依存，如今，网络在所有人的脑海中都在脑海中。以前未连接的计算机和设备正在链接；以前分散的信息在合并数据库中进行了重组；具有共同利益的地理孤立的人构成了新的虚拟社区。网络的好处带有不可避免的漏洞，因为本地错误可以沿着链接传播，从而变成全球失败。示例范围从最近的东北停电到计算机和生物病毒引起的损害。战斗恐怖主义还提出了许多新颖的网络问题，从发现恐怖分子到制定削弱非法组织的策略。为了促进对复杂互连系统的理解，拟议的研究将对管理社会网络中社区形成和功能的法律进行深入而定量的描述，以及个人之间的标准沟通模式。获得的结果可能会对国家安全产生强大的影响，并且可以通过开发更好的工具来探索社交网络，从而长期以来对经济影响。该奖项由NSF和情报界共同支持。数学和物理科学局中恐怖主义计划的方法支持基础研究和劳动力发展中的新概念，有可能为国家安全做出贡献。