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Detecting Ethnic Linkages in Economic Networks Using Machine Learning

In: Big Data Analysis on Global Community Formation and Isolation

Author

Listed:
  • Joomi Jun

    (National Institute of Informatics)

  • Takayuki Mizuno

    (National Institute of Informatics)

Abstract

Ethnicity is a susceptible problem in modern society. But we need to know about it to understand the population of our society. To solve this problem, we use the surname to tackle the ethnic distribution and linkage of society. We build a surname-ethnicity classification model with Recurrent Neural Network and a large-scale surname dataset of ORBIS. Using this method, we analyze the spatial distribution of ethnicity. And we observe the activation of ethnic linkage in particular situations, especially on international trading. We expect this method to provide new ideas and expand on research that understands the characteristics of the population of society.

Suggested Citation

  • Joomi Jun & Takayuki Mizuno, 2021. "Detecting Ethnic Linkages in Economic Networks Using Machine Learning," Springer Books, in: Yuichi Ikeda & Hiroshi Iyetomi & Takayuki Mizuno (ed.), Big Data Analysis on Global Community Formation and Isolation, pages 325-351, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-4944-1_10
    DOI: 10.1007/978-981-15-4944-1_10
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