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Networks of strong ties

机译:紧密联系的网络

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Social networks transmitting covert or sensitive information cannot use all ties for this purpose. Rather, they can only use a subset of ties that are strong enough to be "trusted". This paper addresses whether it is still possible, under this restriction, for information to be transmitted widely and rapidly in social networks. We use transitivity as evidence of strong ties, requiring one or more shared contacts in order to count an edge as strong. We examine the effect of removing all non-transitive ties in two real social network data sets, imposing varying thresholds in the number of shared contacts. We observe that transitive ties occupy a large portion of the network and that removing all other ties, while causing some individuals to become disconnected, preserves the majority of the giant connected component. Furthermore, the average shortest path, important for the rapid diffusion of information, increases only slightly relative to the original network. We also evaluate the cost of forming transitive ties by modeling a random graph composed entirely of closed triads and comparing its connectivity and average shortest path with the equivalent Erdos-Renyi random graph. Both the empirical study and random model point to a robustness of strong ties with respect to the connectivity and small world property of social networks. (c) 2006 Elsevier B.V. All rights reserved.
机译:传输秘密或敏感信息的社交网络不能为此目的使用所有联系。相反,他们只能使用强度足以被“信任”的关系子集。本文讨论了在这种限制下,是否仍然有可能在社交网络中广泛,快速地传输信息。我们使用可及性作为牢固联系的证据,需要一个或多个共享联系人才能将优势视为强大。我们研究了在两个真实的社交网络数据集中删除所有非传递性联系的影响,并对共享联系人的数量施加了不同的阈值。我们观察到,传递关系占据了网络的很大一部分,而除去所有其他关系,虽然使某些人变得脱节,却保留了大多数巨大的连接部分。此外,对于信息的快速传播很重要的平均最短路径相对于原始网络仅略有增加。我们还通过对完全由封闭的三合会组成的随机图进行建模,并将其连通性和平均最短路径与等效的Erdos-Renyi随机图进行比较,来评估建立传递关系的成本。实证研究和随机模型均指出,社交网络的连通性和小世界属性具有很强的联系牢固性。 (c)2006 Elsevier B.V.保留所有权利。

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