IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1709.09373.html
   My bibliography  Save this paper

A Bimodal Network Approach to Model Topic Dynamics

Author

Listed:
  • Luigi Di Caro
  • Marco Guerzoni
  • Massimiliano Nuccio
  • Giovanni Siragusa

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.

Suggested Citation

  • Luigi Di Caro & Marco Guerzoni & Massimiliano Nuccio & Giovanni Siragusa, 2017. "A Bimodal Network Approach to Model Topic Dynamics," Papers 1709.09373, arXiv.org.
    • Handle: RePEc:arx:papers:1709.09373
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1709.09373
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mario Cedrini & Magda Fontana, 2018. "Just another niche in the wall? How specialization is changing the face of mainstream economics [Multidisciplinarity, interdisciplinarity, transdisciplinarity, and the sciences]," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(2), pages 427-451.
    2. Leydesdorff, Loet & Welbers, Kasper, 2011. "The semantic mapping of words and co-words in contexts," Journal of Informetrics, Elsevier, vol. 5(3), pages 469-475.
    3. Arho Suominen & Hannes Toivanen, 2016. "Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(10), pages 2464-2476, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicola Melluso & Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Rapid detection of fast innovation under the pressure of COVID-19," Papers 2102.00197, arXiv.org.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arne HEISE, 2020. "Comparing economic theories or: pluralism in economics and the need for a comparative approach to scientific research programmes," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 13(2), pages 162-184, November.
    2. Tingcan Ma & Ruinan Li & Guiyan Ou & Mingliang Yue, 2018. "Topic based research competitiveness evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 789-803, November.
    3. Aznar-Sánchez, José A. & Piquer-Rodríguez, María & Velasco-Muñoz, Juan F. & Manzano-Agugliaro, Francisco, 2019. "Worldwide research trends on sustainable land use in agriculture," Land Use Policy, Elsevier, vol. 87(C).
    4. Angela Ambrosino & Magda Fontana & Anna Azzurra Gigante, 2018. "Shifting Boundaries In Economics: The Institutional Cognitive Strand And The Future Of Institutional Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 767-791, July.
    5. Ambrosino, Angela & Cedrini, Mario & B. Davis, John, 2022. "Today’s economics: One, No One and One Hundred Thousand," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202215, University of Turin.
    6. Angela Ambrosino & Luca Storti, 2020. "Interdisciplinaritˆ nella teoria economica: riflessioni sulle spalle di Paolo Sylos Labini (Interdisciplinarity and economic theory: Paolo Sylos LabiniÕs legacy)," Moneta e Credito, Economia civile, vol. 73(292), pages 285-300.
    7. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    8. Jinkai Yu & Wenjing Bi, 2019. "Evolution of Marine Environmental Governance Policy in China," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    9. Yi Zhang & Xiaojing Cai & Caroline V. Fry & Mengjia Wu & Caroline S. Wagner, 2021. "Topic evolution, disruption and resilience in early COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4225-4253, May.
    10. Dieter Bögenhold, 2017. "Social-scienciation of Economics and its Consequences: On a Relative Convergence between Economics and Sociology," STOREPapers 3_2017, Associazione Italiana per la Storia dell'Economia Politica - StorEP.
    11. Hamid Darvish & Yaşar Tonta, 2016. "Diffusion of nanotechnology knowledge in Turkey and its network structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 569-592, May.
    12. Andrea Salanti, 2020. "All That Glitters Is Not Gold: The Case of Mainstream Pluralism," Annals of the Fondazione Luigi Einaudi. An Interdisciplinary Journal of Economics, History and Political Science, Fondazione Luigi Einaudi, Torino (Italy), vol. 54(2), pages 287-310, December.
    13. Edwards-Schachter,Mónica & Wallace,Matthew, 2015. "âShaken, but not stirredâ: six decades defining social innovation," INGENIO (CSIC-UPV) Working Paper Series 201504, INGENIO (CSIC-UPV).
    14. Saileshsingh Gunessee & Tom Lane, 2020. "Is Economics An Experimental Science? A Textbook Perspective," Discussion Papers 2020-16, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    15. Manuel A. Vázquez & Jorge Pereira-Delgado & Jesús Cid-Sueiro & Jerónimo Arenas-García, 2022. "Validation of scientific topic models using graph analysis and corpus metadata," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5441-5458, September.
    16. Fontana, Magda & Iori, Martina & Leone Sciabolazza, Valerio & Souza, Daniel, 2022. "The interdisciplinarity dilemma: Public versus private interests," Research Policy, Elsevier, vol. 51(7).
    17. Samira Ranaei & Arho Suominen & Alan Porter & Stephen Carley, 2020. "Evaluating technological emergence using text analytics: two case technologies and three approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 215-247, January.
    18. Mauricio Olivares Faúndez & Hanns de la Fuente-Mella, 2022. "Data Analysis and Domain Knowledge for Strategic Competencies Using Business Intelligence and Analytics," Mathematics, MDPI, vol. 11(1), pages 1-33, December.
    19. Rob Koopman & Shenghui Wang & Andrea Scharnhorst, 2017. "Contextualization of topics: browsing through the universe of bibliographic information," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1119-1139, May.
    20. Juan F. Velasco-Muñoz & José A. Aznar-Sánchez & Marina Schoenemann & Belén López-Felices, 2022. "An Analysis of the Worldwide Research on the Socio-Cultural Valuation of Forest Ecosystem Services," Sustainability, MDPI, vol. 14(4), pages 1-22, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1709.09373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.