Connecting the dots
Using social network analysis to disentangle the factors driving international migration
Bibliographic Data
| ID | 9952897 |
|---|---|
| Authors | C Mcmillan (0000-0002-4108-8112, Department of Sociology & Anthropology, School of Criminology & Criminal Justice Northeastern University Boston Massachusetts USA, corresponding author) |
| Year | 2024 |
| Volume | 63 |
| Issue | 1 |
| Publication date | 2024-02-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Migration (JOURNAL) |
| Journal identifiers | ISSN: 0020-7985 • E-ISSN: 1468-2435 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/imig.13234 |
| OpenAlex | W4391681224 |
| Language | EN |
| Citations received | 2 |
| References cited | 61 |
Migration scholars and policymakers continue to question why international migration corridors develop. In the current project, I argue that there is value in applying a social network approach to disentangle the processes that drive international migration. Using data on migration between 173 countries from 2010 to 2015, I construct a migration network where nodes are countries and edges are flows weighted by the number of people making an international move. Then, I apply valued exponential random graph models to determine whether multiple factors govern the global movement of people. I find that the international migration network is defined by an overrepresentation of transitive triads and unreciprocated dyads, even when multiple economic, migrant network, macro‐level and environmental factors are also considered. Results suggest that after accounting for the volume of migration flows and various, theoretically‐informed drivers of international migration, the network continues to resemble a stratified ranking of destinations
Construct (python library · Destinations · Econometrics · Economic geography · Economics · Exponential random graph models · Geography · Graph · Human migration · Macro · Population · Random graph · Social network (sociolinguistics · Sociology · Tourism · Transitive relation · Computer Science · Demography · Mathematics · Migration and Labor Dynamics · Migration, Refugees, and Integration · Regional Economics and Spatial Analysis · Theoretical Computer Science
International migration systems
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The politics of the world-economy
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Social Network Analysis
Systems Approach to a Theory of Rural‐Urban Migration
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Exponential-family random graph models for valued networks
The Oxford Handbook of Social Networks
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Migration, Unemployment and Development
Multinational Maids
On the Move
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An introduction to exponential random graph (p*) models for social networks
Advances in exponential random graph (p*) models applied to a large social network
Curved exponential family models for social networks
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A theory of migration
Inequality as a driver of migration
A hostile reputation
Recovery migration to the City of New Orleans after Hurricane Katrina
Rural out-migration and smallholder agriculture in the southern Ecuadorian Andes
Rural Out-migration in the Drought Prone Areas of Ethiopia
Estimates of Global Bilateral Migration Flows by Gender between 1960 and 2015 1
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The limits to cumulative causation
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Intercity Relations and Globalisation
U. S. Investment and Immigration from the Caribbean
The Systems Approach to International Migration
Return Migration by German Guestworkers
What's Driving Mexico-U.S. Migration? A Theoretical, Empirical, and Policy Analysis
Complex dependence in foreign direct investment
New World Orders
Social Networks, Gender, and Immigrant Incorporation
Rooted America
An Evaluation of International Migration Theory
Migration networks and the intensity of global migration flows, 1990-2015
The Internal Dynamics of Migration Processes
The Culture of Mexican Migration
Environmental Dimensions of Migration
Network Inequalities and International Migration in the Americas
Climate Change and Migration
Social Capital and International Migration
Worth the weight
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |