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Inferring social relationship in mobile social networks using tempo-spatial information

机译:使用时空信息推断移动社交网络中的社交关系

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摘要

With the advancement of the Internet technology, network communication technology and mobile social applications, mobile social networks present the booming development momentum. Meanwhile, due to the popularity of mobile terminals such as smart phones and variety of PADs, it is feasible to obtain relatively accurate tempo-spatial information from mobile terminal holders. Therefore, inferring social relationships among those people on the basis of their historical tempo-spatial information becomes one of the hottest research fields. In this paper, we aim to infer social relationship among users according to their historical location information via the location-based service which is provided by many on-line social platforms. To achieve this goal, we firstly obtain historical location records and their corresponding timestamps which can be efficiently collected from selected on-line social platforms. Then, we infer the potential social relationship among users according to their historical tempo-spatial information by applying the social relationship inferring method proposed in this paper. Finally, by analyzing the experimental results, we make a set of helpful observations.
机译:随着互联网技术,网络通信技术和移动社交应用的发展,移动社交网络呈现出蓬勃发展的势头。同时,由于诸如智能电话的移动终端和各种PAD的普及,从移动终端持有者获得相对准确的时空信息是可行的。因此,基于历史时空信息推断这些人之间的社会关系成为最热门的研究领域之一。本文旨在通过许多在线社交平台提供的基于位置的服务,根据用户的历史位置信息推断用户之间的社交关系。为了实现这一目标,我们首先获取历史位置记录及其相应的时间戳,这些时间戳可以从选定的在线社交平台上有效地收集。然后,采用本文提出的社交关系推断方法,根据用户的历史时空信息推断用户之间的潜在社交关系。最后,通过分析实验结果,我们进行了一系列有益的观察。

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