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Network analysis of third party tracking: user exposure to tracking cookies through search

机译:第三方跟踪的网络分析:用户通过搜索跟踪cookie的风险

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摘要

Internet advertisers reach millions of customers through practices that real time tracking of users’ online activities. The tracking is conducted by third party ad services engaged by the Web sites to facilitate marketing campaigns. Previous research has investigated tracking practices and tracking agencies associated with popular Web sites. Here we investigate the network properties of the third party referral structures that facilitate gathering of user information for the delivery of personalized ads. By considering third party domains associated with the top ten search results for a diverse set of queries, we arrived at the networks of third party domains in four search markets. We show a consistent network structure across markets, with a dominant connected component that, on average, includes 92.8% of network vertices and 99.8% of the connecting edges. There is 99.5% chance that a user will become tracked by all top 10 trackers within 30 clicks on search results. Finally, the third party networks exhibit properties of the small world networks. This implies a high-level global and local efficiency in spreading the user information and delivering targeted ads.
机译:互联网广告客户通过实时跟踪用户在线活动的做法吸引了数百万客户。跟踪是由网站参与的第三方广告服务进行的,以促进市场营销活动。先前的研究调查了与流行网站相关的跟踪做法和跟踪机构。在这里,我们调查了第三方推荐结构的网络属性,这些结构有助于收集用户信息以交付个性化广告。通过考虑与前十个搜索结果相关联的第三方域的各种查询,我们得出了四个搜索市场中的第三方域网络。我们显示了跨市场的一致网络结构,其中主要的连接组件平均包含92.8%的网络顶点和99.8%的连接边缘。在搜索结果的30次点击中,有10.5%的机会被所有排名前10的跟踪者跟踪。最后,第三方网络展现了小世界网络的特性。这意味着在传播用户信息和投放目标广告方面具有较高的全球和本地效率。

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