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A group trust metric for identifying people of trust in online social networks

机译:用于识别在线社交网络中信任的人的组信任度量

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With the growth of social network services, the need for identifying trustworthy people has become a primary concern in order to protect users' vast amounts of information from being misused by unreliable users. In this study, we propose the extended Advogato trust metric that facilitates the identification of trustworthy users associated with each individual user. By incorporating the strength of social relationships, we recursively diffuse a capacity of a target user throughout his/her personal network. Based on the capacity propagation, this paper also presents the capacity-first maximum flow method capable of finding the strongest path pertinent to discovering an ordered set of reliable users and preventing unreliable users from accessing personal networks. Experimental results demonstrate that our approach has advantages over existing representative methods in terms of both the discovery of reliable users and the pre-ventability of unreliable users.
机译:随着社交网络服务的增长,为了保护用户的大量信息免受不可靠用户的滥用,识别可信赖人员的需求已成为首要问题。在这项研究中,我们提出了扩展的Advogato信任度,它有助于识别与每个用户相关联的可信任用户。通过整合社交关系的力量,我们可以在目标用户的个人网络中递归分散其能力。基于容量传播,本文还提出了容量优先的最大流量方法,该方法能够找到与发现有序可靠用户集有关的最强路径,并防止不可靠的用户访问个人网络。实验结果表明,就可靠用户的发现和不可靠用户的可预防性而言,我们的方法比现有的代表性方法更具优势。

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