Workshop on Advances in Discrete Networks

离散网络进展研讨会

• 批准号: 1446452
• 负责人: Jonathan Rubin
• 金额: $ 1.5万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1446452&HistoricalAwards=false
• 关键词: Workshop; Advances; Discrete; Networks

A workshop entitled, "Advances in Discrete Networks," will be held at the University of Pittsburgh on December 12-14, 2014. A network is a very general concept, encompassing any structure that can be represented as a collection of discrete nodes, some of which are joined by links called edges. An extremely broad variety of systems can be represented as networks; these range from man-made constructs such as power grids, the internet, and rigid structures, to abstract entities such as social interaction and disease contact networks, to biological systems such as neuronal or genetic networks. Mathematical and computational tools being developed to analyze such networks offer great potential for impact, given that the same mathematical framework can be used to represent such a wide diversity of systems. The three-day workshop will provide a forum for the exchange of ideas relating to quantitative research about networks, pursued with a variety of perspectives and approaches. The event will bring together leading researchers in the field, with backgrounds in areas such as applied mathematics, mathematical biology, statistical physics, and computational methods, along with a diverse pool of graduate students, postdocs, and other scientists who are early in their careers. By doing so, it will highlight cutting edge advances in the analysis of network dynamics and structures, it will foster connections across mathematical areas and disciplines, and it will promote the involvement of junior researchers in the field.

题为“离散网络进展”的研讨会将于 2014 年 12 月 12 日至 14 日在匹兹堡大学举行。网络是一个非常笼统的概念，包含任何可以表示为离散节点集合的结构，其中一些节点通过称为边的链接连接起来。 极其广泛的系统可以用网络来表示；这些范围从电网、互联网和刚性结构等人造结构，到社会互动和疾病接触网络等抽象实体，再到神经元或遗传网络等生物系统。 鉴于相同的数学框架可用于表示如此广泛的系统多样性，正在开发的用于分析此类网络的数学和计算工具具有巨大的影响潜力。 为期三天的研讨会将为交流与网络定量研究相关的想法提供一个论坛，并以各种视角和方法进行研究。 该活动将汇集该领域的领先研究人员，他们具有应用数学、数学生物学、统计物理学和计算方法等领域的背景，以及各种各样的研究生、博士后和其他处于职业生涯早期的科学家。 通过这样做，它将突出网络动力学和结构分析方面的前沿进展，它将促进数学领域和学科之间的联系，并将促进初级研究人员参与该领域。