Detecting Ethnic Linkages in Economic Networks Using Machine Learning

Joomi Jun and Takayuki Mizuno ()
Additional contact information
Joomi Jun: National Institute of Informatics
Takayuki Mizuno: National Institute of Informatics

A chapter in Big Data Analysis on Global Community Formation and Isolation, 2021, pp 325-351 from Springer

Abstract: 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.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-4944-1_10

Ordering information: This item can be ordered from
http://www.springer.com/9789811549441

DOI: 10.1007/978-981-15-4944-1_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().