A Bimodal Network Approach to Model Topic Dynamics

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A Bimodal Network Approach to Model Topic Dynamics

Type: Article in monograph or in proceedings
Title: A Bimodal Network Approach to Model Topic Dynamics
Author: Di Caro L.Guerzoni M.Nuccio M.Siragusa G.
Journal Title: STI 2018 Conference Proceedings
Start Page: 486
End Page: 491
Publisher: Centre for Science and Technology Studies (CWTS)
Issue Date: 2018-09-11
Keywords: Scientometrics
Abstract: 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.
Handle: http://hdl.handle.net/1887/65301
 

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