论文部分内容阅读
社团结构是复杂网络中普遍存在的结构.互联网上存在着大量的开放web服务,这些服务通过用户的需求的交互连接,形成了一个复杂的交互网络.发现并利用这些web服务交互网络上的社团结构有助于理解这类复杂软件系统的行为.针对基于web服务行为信息构成服务网络,研究web服务社团发现算法,分析了由用户需求驱动形成的服务社团的结构特征.首先基于web服务结构描述文档信息,构造了web服务交互网络,然后提出一种基于服务协同关系的服务社团发现算法.在真实的w eb服务数据集上进行了实验分析,说明了该算法应用于服务网络的合理性与有效性.
Community structure is a common structure in complex networks.On the Internet, there are a large number of open web services that form a complex interactive network through the interactive connection of users’ needs.Discover and utilize these web services to interact with the community Structure helps to understand the behavior of such complex software systems.Aiming at constructing service network based on web service behavior information and studying web service community discovery algorithm and analyzing the structure characteristics of service community driven by user requirements.First, based on web service structure description Document information, construct web service interaction network, and then propose a service community discovery algorithm based on service collaboration relationship.Experimental analysis on the real w eb service data set shows that the algorithm is applied to the service network rationality and Effectiveness.