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

0083929Martinez 跨学科合作将应用最近开发的计算机网络分析技术来研究大型食物网的复杂性。 研究重点是复杂性与多样性的扩展，特别是互联网、万维网和生态网络中节点和链路数量之间的统计关系。 网络复杂性随多样性扩展的惊人稳健模式，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。 最近对这些缩放关系的见解在理解网络方面取得了根本性进展。 该项目协同整合了负责其中多项进展的科学家，以提高生物复杂性研究的科学生产力。 该项目将利用对复杂性规模的洞察来预测生态网络多样性与结构和功能之间的关系。 研讨会将聚集几位研究人员来交换数据和分析方法，以使用计算机来研究网络和网络模型以及丢失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.