【摘要】 根据复杂网络中整个网络由若干个社区组成和用户通常只对少数主题感兴趣的事实,通过社区语义熵和社区间语义间熵,提出了一种基于语义信息的社区结构划分模型,将网络划分为几个语义社区,并将其应用在服务注册中心的具体问题中,同时通过社区负载容量等参数进行了实验分析。实验结果表明,该模型充分考虑到了社区间的语义特性,在应用中效率有显著提高,为语义社区结构中的服务注册中心部署提供了新的途径。更多还原

【Abstract】 According to the facts that a complex network composed of a number of communities and users are usually interested in only a few topics,this paper proposed a community division model by community semantic entropy and entropy between sematic communities,classed the network into serveral communities,and applied the model in the services center specific problem.The community load capacity and the other characteristics experimental anlysises show that this model’s efficiency singnifcantly increases in application,for the semantic characteristics of community are fully accouted,it also provides a new way to the deployment of service registries in semantic community.更多还原