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基于网络定位的社会网络的社会空间属性

Socio-Spatial Properties of Online Location-Based Social Networks
课程网址: http://videolectures.net/icwsm2011_scellato_spatial/  
主讲教师: Salvatore Scellato
开课单位: 剑桥大学
开课时间: 2011-08-18
课程语种: 英语
中文简介:
大规模在线社交网络的空间结构在很大程度上是无法实现的,因为缺乏关于人们位置的可用和准确数据。然而,随着基于位置的社会服务的迅速普及,关于用户地理位置的数据以及他们的在线社会关系首次被提供。在这项工作中,我们提出了一个全面的研究社会网络中出现的三个主要流行的在线定位服务用户空间属性。我们观察到它们之间强大的通用特性:虽然所有网络在100公里以下显示了约40%的链接,但我们进一步发现,用户之间存在着强烈的异质性,在他们的社会关系和社会三位一体之间具有不同的特征空间交互长度。我们提供的证据表明,类似于重力模型的机制可能会影响这些社会联系在空间上的形成方式。我们的研究结果是第一个大规模的研究,以揭示在线定位社交网络的社会空间特性。
课程简介: 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 largescale study to unravel the socio-spatial properties of online location-based social networks.
关 键 词: 社交网络; 空间属性; 普遍特征; 异质性
课程来源: 视频讲座网
最后编审: 2021-01-30:nkq
阅读次数: 48