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Trust Centrality in Online Social Networks

机译:在线社交网络中的信任中心

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摘要

Centrality is an important element of social network analysis (SNA) measuring the relative power and influence of members of a social network. In face book-style online social networks every member is potentially able to communicate with everyone else within the network. This has an important impact on centrality: the power derivable from (exclusive) connections within the social graph is reduced because network members must not necessarily follow links. In this paper we propose a new measure for centrality which reflects this paradigm shift. It is based not on connectedness but on trust. We discuss different notions of trust, introduce trust matrix and trust centrality and provide an algorithm for its calculation.
机译:中心是社会网络分析(SNA)的重要元素,其测量社交网络成员的相对权力和影响。在脸书中的在线社交网络中,每个成员都可能能够与网络内的其他人进行通信。这对中心性产生了重要影响:由于网络成员不一定遵循链接,因此减少了从社交图中的(独占)连接的功率。在本文中,我们提出了一种反映这种范式转变的中心地位的新措施。它不是基于Connectionness,而是基于信任。我们讨论了不同的信任概念,引入信任矩阵和信任中心,并为其计算提供算法。

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