摘要翻译：
本文在主题建模的框架下，提出了一个跨时域双峰网络，即利用潜在Dirichlet分配(LDA)来分析科学领域语义内容的演化。主要贡献是将主题动力学概念化，并将其形式化和编码为一个算法。为了衡量这种方法的有效性，我们提出了三个指标来跟踪主题随时间的变化，它们的出生和死亡率，以及它们内容的新颖性。应用LDA算法，我们在一个对照实验和一个包含了100多年经济思想史的数千篇科学论文的语料库上测试了该算法。
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英文标题：
《A Bimodal Network Approach to Model Topic Dynamics》
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作者：
Luigi Di Caro, Marco Guerzoni, Massimiliano Nuccio, Giovanni Siragusa
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最新提交年份：
2017
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Computation and Language        计算与语言
分类描述：Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.
涵盖自然语言处理。大致包括ACM科目I.2.7类的材料。请注意，人工语言（编程语言、逻辑学、形式系统）的工作，如果没有明确地解决广义的自然语言问题（自然语言处理、计算语言学、语音、文本检索等），就不适合这个领域。
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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：
  This paper presents an intertemporal bimodal network to analyze the evolution of the semantic content of a scientific field within the framework of topic modeling, namely using the Latent Dirichlet Allocation (LDA). The main contribution is the conceptualization of the topic dynamics and its formalization and codification into an algorithm. To benchmark the effectiveness of this approach, we propose three indexes which track the transformation of topics over time, their rate of birth and death, and the novelty of their content. Applying the LDA, we test the algorithm both on a controlled experiment and on a corpus of several thousands of scientific papers over a period of more than 100 years which account for the history of the economic thought.
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PDF链接：
https://arxiv.org/pdf/1709.09373