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A New Method to Identify Collaborative Partners in Social Service Provider Networks

机译:一种识别社会服务提供商网络中协作伙伴的新方法

摘要

The interactions among service providers are represented as a social network to support service-oriented collaborations across multiple manufacturing enterprises. The combination of service-oriented computing and social network facilitates the connection and collaboration within enterprises. It is essential to identify a group of prosperous collaborative partners in a social network in a prompt and efficient way, especially when the number of alternative service providers is large. However, traditional exhaustive searching approaches are inapplicable in identifying a host enterprise and constitutive members due to the prohibitive computations. In this paper, a new and efficient approach has been proposed to identify service providers optimally based on existing social relations. Three innovations inthe proposal are (i) a set of new concepts has been defined to construct a social service provider network; (ii) based on remodeling the social graph, the betweenness centrality algorithm has been enhanced to efficiently find the leader who serves as the host enterprise of a given engineering project; (iii) to improve the efficiency of computation, an innovative algorithm is proposed to identify the collaborative partners by confining the searching space in the set of connector nodes. For the validation purpose, the experimental simulation is conducted and the results have demonstrated that the proposed algorithms outperform several existing algorithms in terms of computation time in dealing with the increasing number of enterprises.
机译:服务提供商之间的交互表示为社交网络,以支持多个制造企业之间面向服务的协作。面向服务的计算和社交网络的结合促进了企业内部的连接和协作。必须以迅速有效的方式在社交网络中识别出一组繁荣的合作伙伴,尤其是在替代服务提供商数量众多时。然而,由于穷举计算,传统的穷举搜索方法不适用于识别主机企业和组成成员。在本文中,提出了一种新的有效方法来基于现有的社会关系来最佳地识别服务提供商。提案中的三项创新是:(i)定义了一套新概念来构建社会服务提供商网络; (ii)在重塑社会图的基础上,增强了中间性中心性算法,以有效地找到担任给定工程项目的宿主企业的领导者; (iii)为了提高计算效率,提出了一种创新算法,通过限制连接器节点集合中的搜索空间来识别协作伙伴。出于验证目的,进行了实验仿真,结果表明,在处理越来越多的企业时,所提出的算法在计算时间方面优于几种现有算法。

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