英文标题：
《Towards more effective consumer steering via network analysis》
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作者：
Jacopo Arpetti, Antonio Iovanella
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最新提交年份：
2019
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英文摘要：
  Increased data gathering capacity, together with the spread of data analytics techniques, has prompted an unprecedented concentration of information related to the individuals\' preferences in the hands of a few gatekeepers. In the present paper, we show how platforms\' performances still appear astonishing in relation to some unexplored data and networks properties, capable to enhance the platforms\' capacity to implement steering practices by means of an increased ability to estimate individuals\' preferences. To this end, we rely on network science whose analytical tools allow data representations capable of highlighting relationships between subjects and/or items, extracting a great amount of information. We therefore propose a measure called Network Information Patrimony, considering the amount of information available within the system and we look into how platforms could exploit data stemming from connected profiles within a network, with a view to obtaining competitive advantages. Our measure takes into account the quality of the connections among nodes as the one of a hypothetical user in relation to its neighbourhood, detecting how users with a good neighbourhood -- hence of a superior connections set -- obtain better information. We tested our measures on Amazons\' instances, obtaining evidence which confirm the relevance of information extracted from nodes\' neighbourhood in order to steer targeted users.
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中文摘要：
数据收集能力的提高，加上数据分析技术的普及，促使与个人偏好相关的信息空前集中在少数守门员手中。在本论文中，我们展示了平台的性能如何与一些未开发的数据和网络属性相关，能够通过提高评估个人偏好的能力来增强平台实施指导实践的能力。为此，我们依赖网络科学，其分析工具允许数据表示，能够突出主题和/或项目之间的关系，提取大量信息。因此，考虑到系统中可用的信息量，我们提出了一种称为网络信息遗产的措施，并研究了平台如何利用网络中连接的配置文件中的数据，以获得竞争优势。我们的度量考虑了节点之间连接的质量，作为一个假设用户与其邻居的关系，检测具有良好邻居的用户（因此具有更好的连接集）如何获得更好的信息。我们在Amazons的实例上测试了我们的措施，获得的证据证实了从节点附近提取的信息的相关性，以便引导目标用户。
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Social and Information Networks        社会和信息网络
分类描述：Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category.
涵盖社会和信息网络的设计、分析和建模，包括它们在联机信息访问、通信和交互方面的应用，以及它们作为数据集在这些领域和其他领域的问题探索中的作用，包括与社会和生物科学的联系。这类网络的分析和建模包括ACM学科类F.2、G.2、G.3、H.2和I.2的主题；计算应用包括H.3、H.4和H.5中的主题；计算和其他学科接口的应用程序包括J.1-J.7中的主题。关于计算机通信系统和网络协议（例如TCP/IP）的论文通常更适合网络和因特网体系结构（CS.NI）类别。
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一级分类：Computer Science        计算机科学
二级分类：Information Retrieval        信息检索
分类描述：Covers indexing, dictionaries, retrieval, content and analysis. Roughly includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4.
涵盖索引，字典，检索，内容和分析。大致包括ACM主题课程H.3.0、H.3.1、H.3.2、H.3.3和H.3.4中的材料。
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一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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