对北大Maze网基于复杂网络理论的实证研究

EMPIRICAL RESEARCH OF MAZE BASED ON THEORY OF COMPLEX NETWORK

从复杂网络的角度,研究了北京大学Maze网这一复杂系统.Maze网属于P2P网络,其中的个体具有网络用户和网络资源提供者双重属性.我们应用两种网络模型对其进行了实证分析.第一种是二分网络模型,即用户——资源提供者网络;另一种是单顶点网络模型,即用户——用户网络.我们分别统计了Maze网在这两种网络模型下的度分布和集聚系数分布,同时对二分网络模型进行了聚类分析,这些结果对深入研究Maze网提供了有力支持.

Complex system-Maze based on theory of complex networks is investigated. Maze is a P2P system, in which users and resource providers are contacted through resources. Two types of network models for empirical analysis were used. The bipartite network model, a user-resource provider network, and one-node model, a user-user network, were both used. Degree distribution of Maze system under the two models were obtained, as well as distribution of clustering coefficient. Community structure of bipartite model was detected. This work demonstrates detailed properties which is helpful to gain further insight in Maze.