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Socio-Spatial Properties of Online Location-Based Social Networks

机译:基于在线位置的社交网络的社会空间属性

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The spatial structure of large-scale online social networks has been largely unaccessible due to the lack of available and accurate data about people's location. However, with the recent surging popularity of location-based social services, data about the geographic position of users have been available for the first time, together with their online social connections. In this work we present a comprehensive study of the spatial properties of the social networks arising among users of three main popular online location-based services. We observe robust universal features across them: while all networks exhibit about 40% of links below 100 km, we further discover strong heterogeneity across users, with different characteristic spatial lengths of interaction across both their social ties and social triads. We provide evidence that mechanisms akin to gravity models may influence how these social connections are created over space. Our results constitute the first large-scale study to unravel the socio-spatial properties of online location-based social networks.
机译:由于缺乏有关人们的位置的可用和准确的数据,大型在线社交网络的空间结构在很大程度上是不可侵的。然而,随着最近基于位置的社会服务的兴起,有关用户的地理位置的数据首次可用,以及他们的在线社交联系。在这项工作中,我们对三个主要受欢迎的在线位置的服务中出现的社交网络的空间特性进行了全面的研究。我们观察到它们的强大普遍功能:虽然所有网络展示了大约40%的链接低于100公里,但我们进一步发现了跨越用户的强烈异质性,具有各种社交领带和社会三合会的不同特征空间的相互作用。我们提供证据,即类似于重力模型的机制可能会影响这些社会联系如何在空间上产生。我们的结果构成了第一个大规模的研究,以解开在线位置的社交网络的社会空间特性。

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