III-COR:Small: Information Genealogy

本项目的任务是自动检测随时间增长的文档语料库（例如科学文献、政治辩论、新闻、电子邮件、维基百科、博客）中思想的影响结构和流动，以便追踪思想的起源和发展。本项目的智力价值在于开发了统计上有充分依据的方法来发现和分析演变中的档案的影响结构。特别是，该项目将侧重于为了解档案结构和思想如何发展的两种关系，即原创性和影响力，制定统计测试方法。检测思想的影响和起源的能力将对理解、探索、解释、可视化和汇总快速增长的在线历史文本具有重大帮助。该项目还将评估这些方法如何在超链接馆藏中增强传统的引文分析，以及它们是否允许在非超链接档案中实现类似的功能。这项新功能将使许多广泛使用的应用程序受益，包括互联网内容的搜索引擎。

This project addresses the task of automatically detecting the influence structure and flow of ideas in document corpora that have grown over time (e.g. scientific literature, political debates, news, email, wikis, blogs) in order to trace the origin and development of ideas over time. The intellectual merit of this project lies in the development of statistically well-founded methods for discovering and analyzing the influence structure in evolving archives. In particular, this project will focus on the development of statistical tests for two relations that are central to understanding the structure of an archive and how ideas developed - namely originality and influence. The ability to detect influence and origin of ideas will be of substantial help in understanding, exploring, interpreting, visualizing, and aggregating the rapidly growing body of historical text available online. The project will also evaluate in how these methods augment traditional citation analysis in hyperlinked collections, and whether they allow similar functionality even in non-hyperlinked archives. The new capability will benefit a number of widely used applications, including search engines for internet content.