Your actions tell where you are: Uncovering Twitter users in a metropolitan area
Your actions tell where you are: Uncovering Twitter users in a metropolitan area
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你的行为告诉你在哪里：发现大都市区的 Twitter 用户
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Yanchao Zhang
中科院分区：
文献类型：
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作者：
Jinxue Zhang;Jingchao Sun;Rui Zhang;Yanchao Zhang
Twitter是一个非常受欢迎的社交网络平台。由于隐私问题，大多数Twitter用户不会透露他们的位置。虽然推断个人Twitter用户的位置已经被广泛研究，但在不扫描整个Twitter领域的情况下有效地找到特定地理区域中的大多数用户仍然是缺失的，并且获得这些用户将产生积极和消极的意义。在本文中，我们提出了LocInfer，一种新颖的轻量级系统来解决这个问题。LocInfer探索了Twitter中的用户通信具有很强的地理位置性，我们通过大规模数据集进行了验证。本文以美国四个具有代表性的大都市区为研究对象，LocInfer可以发现平均86.6%的用户，每个区域的准确率为73.2%，只需检查一小部分候选用户。我们还提出了一个对策，高度敏感的用户位置隐私，并通过模拟显示其有效性。
Twitter is an extremely popular social networking platform. Most Twitter users do not disclose their locations due to privacy concerns. Although inferring the location of an individual Twitter user has been extensively studied, it is still missing to effectively find the majority of the users in a specific geographical area without scanning the whole Twittersphere, and obtaining these users will result in both positive and negative significance. In this paper, we propose LocInfer, a novel and lightweight system to tackle this problem. LocInfer explores the fact that user communications in Twitter exhibit strong geographic locality, which we validate through large-scale datasets. Based on the experiments from four representative metropolitan areas in U.S., LocInfer can discover on average 86.6% of the users with 73.2% accuracy in each area by only checking a small set of candidate users. We also present a countermeasure to the users highly sensitive to location privacy and show its efficacy by simulations.