BIOCOMPLEXITY-- INCUBATION ACTIVITY: Scaling of Network Complexity with Diversity in Food Webs

马丁内斯一项跨学科合作将把最新开发的计算机网络分析技术应用到大型食物网的复杂性研究中。研究的重点是复杂性与多样性的比例关系，特别是Internet、WWW和生态网络中节点数和链路数之间的统计关系。网络复杂性与多样性的扩展方式中惊人的强健模式，以及这种扩展关系支撑成功网络模型的能力，构成了合作的科学基础。对这些伸缩关系的最新见解在理解网络方面取得了根本性的进展。该项目协同整合了负责其中几项进展的科学家，以提高生物复杂性研究的科学生产率。该项目将利用对复杂性规模的洞察来预测多样性与生态网络结构和功能之间的关系。讲习班将召集几名研究人员交换数据和分析方法，利用计算机研究网络和网络模型，以及失去节点和物种对网络的影响。

0083929MartinezAn interdisciplinary collaboration will apply recently developed techniques for analyzing computer networks to the study of complexity in large food webs. The focus of the research is the scaling of complexity with diversity, especially the statistical relationships between the numbers of nodes and links in Internet, WWW, and ecological networks. The strikingly robust patterns in the way network complexity scales with diversity along with the ability of this scaling relationship to underpin successful network models form the scientific basis of the collaboration. Recent insights into these scaling relationships have made fundamental advances in understanding networks. This project synergistically integrates scientists responsible for several of these advances to increase the scientific productivity of biocomplexity research. The project will use insights into the scaling of complexity to predict the relationship between diversity and the structure and function of ecological networks. Workshops will gather several researchers to exchange data and analytical methods to use computers to study both networks and models of networks as well as the effects of losing nodes and species on networks.