查询架构，点击军事：比较维基百科上搜索和导航的角色
Query for Architecture, Click through Military: Comparing the Roles of Search and Navigation on Wikipedia
摘要：
作为网络上最丰富的百科全书信息来源之一，维基百科产生了巨大的流量。在本文中，我们研究了英文维基百科的大规模文章访问数据，以比较文章的两个主要范式的信息寻求，即，通过制定查询进行搜索，通过跟随超链接进行导航。为此，我们提出并采用了两个主要指标，即（i）searchshare -通过搜索收到的文章的相对浏览量-和（ii）阻力-一篇文章将流量传递到其他维基百科文章的能力-来描述文章。我们展示了不同的主题类别的文章如何在这些属性方面有很大的不同。例如，与建筑相关的文章通常通过搜索访问，同时也是交通的“死胡同”，而关于军事事件的历史文章主要是导航。我们进一步将流量差异与不同的网络，内容和编辑活动功能联系起来。最后，我们衡量的文章属性的影响，通过建模访问行为的文章与梯度提升的方法。本文的结果构成了一个步骤，了解人类在Web上的信息寻求行为。
英文摘要：
As one of the richest sources of encyclopedic information on the Web, Wikipedia generates an enormous amount of traffic. In this paper, we study large-scale article access data of the English Wikipedia in order to compare articles with respect to the two main paradigms of information seeking, i.e., search by formulating a query, and navigation by following hyperlinks. To this end, we propose and employ two main metrics, namely (i) searchshare -- the relative amount of views an article received by search --, and (ii) resistance -- the ability of an article to relay traffic to other Wikipedia articles -- to characterize articles. We demonstrate how articles in distinct topical categories differ substantially in terms of these properties. For example, architecture-related articles are often accessed through search and are simultaneously a "dead end" for traffic, whereas historical articles about military events are mainly navigated. We further link traffic differences to varying network, content, and editing activity features. Lastly, we measure the impact of the article properties by modeling access behavior on articles with a gradient boosting approach. The results of this paper constitute a step towards understanding human information seeking behavior on the Web.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
