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Two trust networks in one: Using bipolar structures to fuse trust and distrust

机译:合二为一的信任网络:使用双极结构融合信任和不信任

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In this paper we study weighted trust-networks, where each edge is associated with either a positive or negative score. Hence, we consider a distrust relationship as well, allowing a user to rate poor experiences with other individuals in his web of acquaintances. We propose an algorithm to compose two of such networks in a single one, in order to merge the knowledge obtained in two different communities of individuals (possibly partially-overlapping), through two different trust management-systems. Our algorithm is based on semiring algebraic-structures, in order to have a parametric computational-framework. Such composition can be adopted whenever two trust-based communities (with the same scope) need to be amalgamated: for instance, two competitor-companies that need to unify the trust-based knowledge on their (sub-) suppliers.
机译:在本文中,我们研究加权信任网络,其中每个边都与正或负分数相关。因此,我们也考虑不信任关系,从而允许用户在他的熟人网上对其他人的不良经历进行评分。我们提出一种算法,将一个这样的网络中的两个组成一个单一的网络,以便通过两个不同的信任管理系统合并在两个不同的个人社区中获得的知识(可能会部分重叠)。我们的算法基于半环代数结构,以便具有参数计算框架。每当需要合并两个基于信任的社区(范围相同)时,都可以采用这种组合:例如,两个竞争对手公司需要统一其(子)供应商的基于信任的知识。

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