NeTSE: Small: Spatio-Temporal Network Traffic Dynamics and Interactions of Social-Technical Networks

NeTSE：小：时空网络流量动态和社交技术网络的交互

• 批准号: 1017647
• 负责人: Zhi-Li Zhang
• 金额: $ 50万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017647&HistoricalAwards=false
• 关键词: NeTSE; Small; Spatio; Temporal; Network

As the de facto global information infrastructure that underpins much of today's commercial, social, political and cultural activities, the Internet now provides a convenient, speedy (near instant), and sometimes anonymous means to connect and communicate, and more broadly speaking, to ``social-network'' with other people, breaking the geographical, cultural, socio-economic, and other barriers. These ``social networks?? reflect the social interactions, behaviors and interests of human users, and influence what information is accessed and what services are used. On the other hand, the Internet and its constituent network and service infrastructures -- the underlying ``technical networks'' which connect human users, the end devices they use for communications and information access, and various servers hosting Internet services -- determine how information and services are accessed and delivered. Hence, the interplay and interactions of the socio-technical networks drive innovation, adoption and spread of both Internet applications and the technologies that enable them. As the research community contemplates ``clean-state'' re-designs of a future Internet architecture, it is therefore both important and imperative to understand and account for such interplay and interactions. Intellectual Merit. This research project explores and studies the interplay and interactions of socio-technical networks through network traffic. Telecommunications networks exist to carry and deliver traffic generated by various applications and services to enable communications, information access and sharing, and social interactions among users. Hence network traffic and its spatial and temporal dynamics implicitly reflect user behaviors, social communities, and emergent trends. The researchers advance the novel notion of network traffic activity graphs (TAGs) to capture the spatial and temporal traffic dynamics, and to uncover and extract significant communication patters and structural dynamics therein. The researchers employ TAGs as a main tool to study the interplay and interactions of socio-technical networks by addressing two broad sets of inter-related questions: i) how to extract network-wide, spatial and temporal communication patterns and other structural dynamics inherent in network traffic, and use them to help reveal the social interactions, community structures and user behaviors? and ii) how to meaningfully analyze and quantify the effects of the interplay and interactions of socio-technical networks, and account for them to better operate, manage, secure and evolve the (technical) networks and the services running on top of them? Broader Impact. Understanding the interplay and interactions of socio-technical networks will help improve the operations, management and security of today's IP networks as well as emerging services. Such understanding will also provide valuable insight to the design of future networks, so as to better meet the demands and requirements of new Internet services, many of which are too futuristic to have yet been contemplated. All these will bring significant benefits to users, service providers and the society at large. The research project will also provide both undergraduate and graduate students with hands-on experiences in learning large-scale data analytics and network designs. The researchers will actively involve undergraduate students -- especially female students and underrepresented minorities -- in the research project. The researchers plan to disseminate the research outcomes through publications and outreach activities. Through participation in future Internet design forums (e.g., NetSE/GENI) and collaboration with industrial partners, the researchers will seek to impact the development of future Internet technologies and services by explicitly accounting for the interplay and interactions of socio-technical networks.

作为支撑当今商业、社会、政治和文化活动的事实上的全球信息基础设施，互联网现在提供了一种方便、快速（近乎即时）、有时是匿名的方式来连接和交流，更广泛地说，是与他人建立“社交网络”，打破了地理、文化、社会经济和其他障碍。这些“社交网络”？反映人类用户的社会互动、行为和兴趣，并影响访问的信息和使用的服务。另一方面，互联网及其组成网络和服务基础设施——连接人类用户的底层“技术网络”，他们用于通信和信息访问的终端设备，以及托管互联网服务的各种服务器——决定了如何访问和提供信息和服务。因此，社会技术网络的相互作用和相互作用推动了互联网应用及其技术的创新、采用和传播。当研究社区考虑“清洁状态”对未来互联网架构的重新设计时，因此理解和解释这种相互作用和相互作用既重要又势在必行。知识价值。该研究项目通过网络流量探索和研究社会技术网络的相互作用和相互作用。电信网络的存在是为了承载和传递由各种应用程序和服务产生的流量，以实现用户之间的通信、信息访问和共享以及社会互动。因此，网络流量及其时空动态隐含地反映了用户行为、社会群体和新兴趋势。研究人员提出了网络流量活动图（tag）的新概念，以捕捉空间和时间的流量动态，并揭示和提取其中重要的通信模式和结构动态。研究人员将标签作为研究社会技术网络相互作用和相互作用的主要工具，解决了两大类相互关联的问题：1)如何提取网络流量中固有的网络范围、时空通信模式和其他结构动态，并利用它们来帮助揭示社会互动、社区结构和用户行为；ii)如何有意义地分析和量化社会技术网络的相互作用和相互作用的影响，并解释它们如何更好地操作、管理、保护和发展（技术）网络和运行在它们之上的服务？更广泛的影响。了解社会技术网络的相互作用和相互作用将有助于改善当今IP网络以及新兴服务的运营、管理和安全性。这种认识也将为未来网络的设计提供宝贵的见解，从而更好地满足新互联网服务的需求和要求，其中许多服务过于超前，尚未被考虑。所有这些都将为用户、服务提供商和整个社会带来巨大的利益。该研究项目还将为本科生和研究生提供学习大规模数据分析和网络设计的实践经验。研究人员将积极让本科生——尤其是女学生和代表性不足的少数族裔——参与研究项目。研究人员计划通过出版物和外联活动传播研究成果。通过参与未来的互联网设计论坛（例如，NetSE/GENI）和与工业伙伴的合作，研究人员将通过明确说明社会技术网络的相互作用和相互作用，寻求影响未来互联网技术和服务的发展。