Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union

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Yildiz, D. ORCID: https://orcid.org/0000-0001-6192-0634, Wiśniowski, A., Abel, G. ORCID: https://orcid.org/0000-0002-4893-5687, Weber, I., Zagheni, E., Gendronneau, C., & Hoorens, S. (2024). Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union.

Full text not available from this repository.

Official URL: https://github.com/a-wis/integrating-migrant-stock...

Project: Future Migration Scenarios for Europe (FUME, H2020 870649)

Abstract

This repository contains code to reproduce the results and outputs in the article "Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union".

Item Type:	Data
Additional Information:	GPL-3.0 license
Research Programs:	Population and Just Societies (POPJUS) Population and Just Societies (POPJUS) > Multidimensional Demographic Modeling (MDM) Population and Just Societies (POPJUS) > Migration and Sustainable Development (MIG)
Related URLs:	Publication - https://journals.sagepub.com/doi/10.1177/01979183241249969
Depositing User:	Luke Kirwan
Date Deposited:	03 Feb 2025 08:41
Last Modified:	03 Feb 2025 08:41
URI:	https://pure.iiasa.ac.at/20376

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