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比例关系具有惊人的鲁棒性，沿着这种比例关系能够支撑成功的网络模型，这构成了合作的科学基础。 最近对这些尺度关系的深入了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力。 该项目将利用对复杂性尺度的深入了解来预测多样性与生态网络的结构和功能之间的关系。 研讨会将聚集几名研究人员，交换数据和分析方法，使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.