灵感、吸引与误导：在线导航网络中的涌现特性
Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation
摘要：
万维网（WWW）从根本上改变了数十亿人获取信息的方式。因此，了解人们如何在网上寻求信息是一个重要的研究课题。维基百科是网络信息提供的一个非常重要的部分，有数亿用户浏览并为其知识网络做出贡献。由于维基百科的受欢迎程度和内容的广泛性，对维基百科上导航行为的研究可以揭示更多的一般信息搜索模式，这些模式可能适用于维基百科和网络之外。我们的工作解决了现有文献的相对缺点，在有关信息结构如何影响模式的在线导航。我们研究聚合的点击流数据的英文维基百科上的文章的形式加权，定向导航网络。我们引入了两个参数来描述文章如何根据它们的输入/输出强度和熵来通过网络获取和传播流量。从这些，我们构建了一个导航相空间，不同的文章类型占据不同的，不同的区域，表明如何在网上的信息结构有不同的影响模式的导航。最后，我们继续建议应用程序，这种分析在识别和纠正的缺陷，在维基百科页面网络，也可以适应更一般的信息网络。
英文摘要：
The World Wide Web (WWW) has fundamentally changed the ways billions of people are able to access information. Thus, understanding how people seek information online is an important issue of study. Wikipedia is a hugely important part of information provision on the web, with hundreds of millions of users browsing and contributing to its network of knowledge. The study of navigational behaviour on Wikipedia, due to the site's popularity and breadth of content, can reveal more general information seeking patterns that may be applied beyond Wikipedia and the Web. Our work addresses the relative shortcomings of existing literature in relating how information structure influences patterns of navigation online. We study aggregated clickstream data for articles on the English Wikipedia in the form of a weighted, directed navigational network. We introduce two parameters that describe how articles act to source and spread traffic through the network, based on their in/out strength and entropy. From these, we construct a navigational phase space where different article types occupy different, distinct regions, indicating how the structure of information online has differential effects on patterns of navigation. Finally, we go on to suggest applications for this analysis in identifying and correcting deficiencies in the Wikipedia page network that may also be adapted to more general information networks.
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。
