Explaining International Migration in the Skype Network

Riivo Kikas · Marlon Dumas · Ando Saabas

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Human Mobility and Location-Based Analysis Migration and Labor Dynamics Complex Network Analysis Techniques

Abstract

In recent years, several new ways have appeared for quantifying human migration such as location based smartphone applications and tracking user activity from websites. To show usefulness of these new approaches, we present the results of a study of cross-country migration as observed via login events in the Skype network. We explore possibility to extract human migration and correlate it with institutional statistics. The study demonstrates that a number of social network features are strongly related to net migration from and to a given country, as well as net migration between pairs of countries. Specifically, we find that percentage of international calls, percentage of international links and foreign logins in a country, complemented by gross domestic product, can be used as relatively accurate proxies for estimating migration.

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References

2008Understanding individual human mobility patterns 2014Geo-located Twitter as proxy for global mobility patterns 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility 2011The Outlook for Population Growth 2006Unequal access to foreign spaces: how states use visa restrictions to regulate mobility in a globalized world 2014Inferring international and internal migration patterns from Twitter data 2012You are where you e-mail 2011On the detrimental impact of visa restrictions on bilateral trade and foreign direct investment

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2019Computational socioeconomics 2020Digital Footprints of International Migration on Twitter 2017Digital Demography 2017Urban population mobility patterns in Spring Festival Transportation: Insights from Weibo data 2021Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level 2023The Empirical Study of Human Mobility: Potentials and Pitfalls of Using Traditional and Digital Data

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