Patterns of Internal Migration of Mexican Highly Qualified Population through Network Analysis

Caudillo-Cos, Camilo; Tapia-McClung, Rodrigo

doi:10.1007/978-3-319-09147-1_13

“…Bilecen et al (2018) remark that although network characteristics of migration are widely acknowledged, network analysis methods have not received the deserved attention. Caudillo-Cos and Tapia-McClung (2014) also highlight the lack of a network analysis approach in migration apart from few studies.…”

Section: Related Workmentioning

confidence: 99%

“…Outside the US, the studies on internal migration with a network analysis approach are usually more recent. Caudillo-Cos and Tapia-McClung (2014) compare the migration patterns of highly qualified and general population between 2005 and 2010 in Mexico at the level of metropolitan areas and provide an online visualization tool for further analyses. Pitoski et al (2021) study the internal migration in Croatia and find that both degrees and strengths follow a power-law distribution.…”

Section: Related Workmentioning

confidence: 99%

Investigating internal migration with network analysis and latent space representations: An application to Turkey

Gursoy¹,

Badur²

2022

Preprint

0

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Human migration patterns influence the redistribution of population characteristics over the geography and since such distributions are closely related to social and economic outcomes, investigating the structure and dynamics of internal migration plays a crucial role in understanding and designing policies for such systems. We provide an in-depth investigation into the structure and dynamics of the internal migration in Turkey from 2008 to 2020. We identify a set of classical migration laws and examine them via various methods for signed network analysis, ego network analysis, representation learning, temporal stability analysis, community detection, and network visualization. The findings show that, in line with the classical migration laws, most migration links are geographically bounded with several exceptions involving cities with large economic activity, major migration flows are countered with migration flows in the opposite direction, there are well-defined migration routes, and the migration system is generally stable over the investigated period. Apart from these general results, we also provide unique and specific insights into Turkey. Overall, the novel toolset we employ for the first time in the literature allows the investigation of selected migration laws from a complex networks perspective and sheds light on future migration research on different geographies.

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“…( 2018 ) remark that although network characteristics of migration are widely acknowledged, network analysis methods have not received the deserved attention. Caudillo-Cos and Tapia-McClung ( 2014 ) also highlight the lack of a network analysis approach in migration apart from few studies.…”

Section: Related Workmentioning

confidence: 99%

Investigating internal migration with network analysis and latent space representations: an application to Turkey

Gursoy

¹

,

Badur

²

2022

Soc. Netw. Anal. Min.

1

0

View full text Add to dashboard Cite

Human migration patterns influence the redistribution of population characteristics over the geography and since such distributions are closely related to social and economic outcomes, investigating the structure and dynamics of internal migration plays a crucial role in understanding and designing policies for such systems. We provide an in-depth investigation into the structure and dynamics of the internal migration in Turkey from 2008 to 2020. We identify a set of classical migration laws and examine them via various methods for signed network analysis, ego network analysis, representation learning, temporal stability analysis, community detection, and network visualization. The findings show that, in line with the classical migration laws, most migration links are geographically bounded with several exceptions involving cities with large economic activity, major migration flows are countered with migration flows in the opposite direction, there are well-defined migration routes, and the migration system is generally stable over the investigated period. Apart from these general results, we also provide unique and specific insights into Turkey. Overall, the novel toolset we employ for the first time in the literature allows the investigation of selected migration laws from a complex networks perspective and sheds light on future migration research on different geographies.

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“…The next most frequently covered geography is the US (inter-county US migration), analysed in the works by [9][10][11]. Additional geographies investigated are China for its inter-city migration, [12,13], EU for its intercountry migration [27], UK for its inter-district migration [28], and Mexico for its intercity migration [29].Inter-settlement migration has only recently been investigated using a network-science approach on Austrian internal migration [14].…”

Section: Related Workmentioning

confidence: 99%

Network analysis of internal migration in Croatia

Pitoski

¹

,

Lampoltshammer

²

,

Parycek

³

2021

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Migration, and urbanization as its consequence, is among the most intricate political and scientific topics, predicted to have huge effects on human lives in the near future. Thus being said, previous works have mainly focused on international migration, and the research on internal migration outside of the US is scarce, and in the case of Europe—the ubiquitous center of migration affairs—only in its infancy. Observing migration between settlements, especially using network analysis indicators and models, can help to explain and predict migration, as well as urbanization originating from internal migration. We therefore conducted a network analysis of internal migration in Croatia, providing insights into the size of internal migration in population, and relative sizes between intra-settlement migration, inter-settlement migration and population. Through centrality analysis, we provide insights into hierarchy of importance, especially, in terms of the overall flow and overall attractiveness of particular settlements in the network. The analysis of the network structure reveals high presence of reciprocity and thus the importance of internal migration to urbanization, as well as the systematic abandonment of large cities in the east of the country. The application of three different community detection algorithms provides insights for the policy domain in terms of the compatibility of the current country administrative subdivision schemes and the subdivision implied by migration patterns. For network scholars, the analysis at hand reveals the status quo in applied network analysis to migration, the works published, the measures used, and potential metrics outside those applied which may be used to better explain and predict the intricate phenomenon of human migration.

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Patterns of Internal Migration of Mexican Highly Qualified Population through Network Analysis

Cited by 6 publications

References 12 publications

Investigating internal migration with network analysis and latent space representations: An application to Turkey

Investigating internal migration with network analysis and latent space representations: An application to Turkey

Investigating internal migration with network analysis and latent space representations: an application to Turkey

Network analysis of internal migration in Croatia

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