摘要翻译：
数字化转型正在推动革命性的创新，新的市场进入者威胁着汽车行业等既定的经济部门。根据监测产业转移的需要，我们提出了一个以网络为中心的汽车制造商网页分析。我们只利用公开可用的信息，从网页和超链接构建大型网络。网络属性揭示了三大汽车制造商丰田、大众和现代在创新趋势和国际前景方面的内部企业定位。我们标记了与电子移动、环境或自动驾驶等主题相关的web页面，并研究了它们在网络中的相关性。对个别网页的情感分析揭示了页面链接与积极语言使用之间的关系，特别是在创新趋势方面。同一国家域的网页在网络中形成大小不一的集群，与销售市场导向有很强的相关性。我们的方法维护了web内容的层次结构，由web页面网络强加。因此，它提出了一种方法来揭示非结构化文本内容的层次结构。它具有高度的透明度、可复制性和数据驱动性，可用于获得对公司创新战略和竞争环境的补充洞察力，而这些洞察力仅通过对网络内容的分析是无法察觉的。
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英文标题：
《Mining the Automotive Industry: A Network Analysis of Corporate
  Positioning and Technological Trends》
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作者：
Niklas Stoehr, Fabian Braesemann, Michael Frommelt, Shi Zhou
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最新提交年份：
2020
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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：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  The digital transformation is driving revolutionary innovations and new market entrants threaten established sectors of the economy such as the automotive industry. Following the need for monitoring shifting industries, we present a network-centred analysis of car manufacturer web pages. Solely exploiting publicly-available information, we construct large networks from web pages and hyperlinks. The network properties disclose the internal corporate positioning of the three largest automotive manufacturers, Toyota, Volkswagen and Hyundai with respect to innovative trends and their international outlook. We tag web pages concerned with topics like e-mobility and environment or autonomous driving, and investigate their relevance in the network. Sentiment analysis on individual web pages uncovers a relationship between page linking and use of positive language, particularly with respect to innovative trends. Web pages of the same country domain form clusters of different size in the network that reveal strong correlations with sales market orientation. Our approach maintains the web content's hierarchical structure imposed by the web page networks. It, thus, presents a method to reveal hierarchical structures of unstructured text content obtained from web scraping. It is highly transparent, reproducible and data driven, and could be used to gain complementary insights into innovative strategies of firms and competitive landscapes, which would not be detectable by the analysis of web content alone.
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PDF链接：
https://arxiv.org/pdf/1912.10097