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#x0022;How Well Do We Know Each Other?#x0022; Detecting Tie Strength in Multidimensional Social Networks

机译:"我们互相认识好吗?" 检测多维社交网络领域的领带力量

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The advent of social media have allowed us to build massive networks of weak ties: acquaintances and nonintimate ties we use all the time to spread information and thoughts. Conversely, strong ties are the people we really trust, people whose social circles tightly overlap with our own and, often, they are also the people most like us. Unfortunately, the majority of social media do not incorporate explicitly tie strength information in the creation and management of relationships, and treat all users the same: friend or stranger, with little or nothing in between. In the current work, we address the challenging issue of detecting on online social networks the strong and intimate ties from the huge mass of such mere social contacts. In order to do so, we propose a novel multidimensional definition of tie strength which exploits the existence of multiple online social links between two individuals. We test our definition on a multidimensional network constructed over users in Foursquare, Twitter and Facebook, analyzing the structural role of strong and weak links, and the correlations with the most common similarity measures.
机译:社交媒体的出现使我们能够建立大规模的弱领带网络:熟人和无风险联系我们一直使用的信息来传播信息和思想。相反,强烈的关系是我们真正信任的人,这些人的社交界紧紧地重叠了我们,通常,他们也是我们最喜欢的人。不幸的是,大多数社交媒体都不纳入明确的搭配力量信息,在建立和管理关系中,并对待所有用户同样的用户:朋友或陌生人,之间几乎没有或没有任何内容。在目前的工作中,我们解决了检测在线社交网络的挑战性问题,这是来自巨大的社会联系人的强大和私密关系。为此,我们提出了一种新的多维多维定义,它的领带力量利用了两个人之间的多个在线社交联系的存在。我们测试我们在Foursquare,Twitter和Facebook的用户构建的多维网络上的定义,分析了强大的链接的结构作用,以及与最常见的相似性措施的相关性。

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