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Follow thy neighbor: Connecting the social and the spatial networks on Twitter

机译:跟随您的邻居:在Twitter上连接社交网络和空间网络

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摘要

This paper compares the social properties of Twitter users' networks with the spatial proximity of the networks. Using a comprehensive analysis of network density and network transitivity we found that the density of networks and the spatial clustering depends on the size of the network; smaller networks are more socially clustered and extend a smaller physical distance and larger networks are physically more dispersed with less social clustering. Additionally, Twitter networks are more effective at transmitting information at the local level. For example, local triadic connections are more than twice as likely to be transitive than those extending more than 500 km. This implies that not only is distance important to the communities developed in online social networks, but scale is extremely pertinent to the nature of these networks. Even as technologies such as Twitter enable a larger volume of interaction between spaces, these interactions do not invent completely new social and spatial patterns, but instead replicate existing arrangements. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文将Twitter用户网络的社会属性与网络的空间邻近度进行了比较。通过对网络密度和网络传递性的综合分析,我们发现网络的密度和空间聚类取决于网络的大小。较小的网络在社会上更加集群化,并延伸了更短的物理距离,而较大的网络在物理上更加分散,社会集群也较少。此外,Twitter网络更有效地在本地传输信息。例如,局部三合会的传递可能性是延伸超过500公里的传递的两倍以上。这意味着距离不仅对在线社交网络中开发的社区很重要,而且规模与这些网络的性质极为相关。即使诸如Twitter之类的技术实现了空间之间的更大数量的交互,这些交互也并没有发明出全新的社会和空间模式,而是复制了现有的布置。 (C)2014 Elsevier Ltd.保留所有权利。

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