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A new energy construction method of web service community based on complex network

机译:基于复杂网络的Web服务社区新能源建设方法

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Organizing the existing large number of web services in advance can improve the efficiency of service discovery and service selection. Most real complex networks have a common nature, the community structure. Nodes in the same community are similar with each other, which is similar to the organization of web services. Web services can be classified by building complex networks whose nodes are web services and detecting community structure. The paper constructs a complex networks model of web services. In order to get the community structure, we use WS-k-means algorithm to divide the network into some parts. The article creates a community services similarity model to verity the rationality of the result. The experiments show that the similarity of services in the web services community structure obtained by WS-k-means algorithm is higher than GN algorithm. Detecting the community structure of web service network can be used as a way of effective organization of the web services.
机译:预先组织现有的大量Web服务可以提高服务发现和服务选择的效率。大多数真正的复杂网络具有共同的性质,即社区结构。同一社区中的节点彼此相似,这与Web服务的组织相似。可以通过构建节点为Web服务的复杂网络并检测社区结构来对Web服务进行分类。本文构建了一个复杂的Web服务网络模型。为了获得社区结构,我们使用WS-k-means算法将网络划分为一些部分。本文创建了一个社区服务相似性模型来验证结果的合理性。实验表明,WS-k-means算法获得的Web服务社区结构中服务的相似性高于GN算法。检测Web服务网络的社区结构可以用作Web服务有效组织的一种方式。

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