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Migrant Network Analysis×Chain Migration Mapping×
OblastMigration StudiesMigration Studies
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka19901964
TvoracDouglas S. MasseyJohn S. MacDonald & Leatrice D. MacDonald; Douglas S. Massey
TipNetwork and feedback pipeline for migration self-perpetuationNetwork-tracing pipeline for serial sponsored migration
Temeljni izvorMassey, D. S. (1990). Social Structure, Household Strategies, and the Cumulative Causation of Migration. Population Index, 56(1), 3-26. DOI ↗MacDonald, J. S., & MacDonald, L. D. (1964). Chain Migration, Ethnic Neighborhood Formation and Social Networks. The Milbank Memorial Fund Quarterly, 42(1), 82-97. DOI ↗
Drugi naziviMigration Network Analysis, Social Capital Migration Analysis, Cumulative Causation Analysis, Network Prevalence Migration ModelChain Migration Analysis, Kin and Paesani Chain Tracing, Serial Migration Mapping, Sponsorship Chain Reconstruction
Srodne33
SažetakMigrant network analysis studies the interpersonal ties — of kinship, friendship, and shared origin — that link prospective migrants to people who have already migrated, and treats these ties as a form of social capital that lowers the costs and risks of moving. Douglas Massey's 1990 article argued that once a few pioneers establish themselves at a destination, they reduce the difficulty of migration for everyone connected to them: relatives and friends can draw on their information, housing, job leads, and support, so each successful move makes the next one easier and more likely. This dynamic produces cumulative causation, a self-feeding process in which migration alters the social and economic context of the origin community in ways that promote still more migration, until flows acquire a momentum largely independent of the conditions that first set them off. Massey and colleagues' 1993 review codified network theory as one of the perpetuating mechanisms of international migration, distinct from the factors that initiate it. The analysis maps the network of ties, measures the prevalence of migration experience in a community, and models how that prevalence raises individual migration probabilities. It explains why migration streams, once begun, are so difficult to stop.Chain migration mapping reconstructs the social mechanism by which one migrant's move triggers many others, tracing the kin, friend, and paesani ties along which earlier arrivals recruit and sponsor later ones into the same destination. John and Leatrice MacDonald's 1964 study of Italian migration to the United States gave the process its classic name, showing how chains of personal sponsorship channel newcomers into specific neighborhoods and produce the dense ethnic enclaves that dot immigrant cities. The method treats migration not as independent decisions by isolated individuals but as a self-feeding network in which each settler lowers the cost and risk of moving for those still at home. Douglas Massey's 1990 theory of cumulative causation formalized why such chains accelerate over time, as every new migrant expands the web of contacts that makes the next move easier. Mapping a chain therefore means building the directed sponsorship graph, ordering it by arrival time, and clustering it at the destination to reveal how neighborhoods crystallize. The result is both a descriptive map of who brought whom and an explanatory account of why migration streams persist and concentrate.
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ScholarGateUporedite metode: Migrant Network Analysis · Chain Migration Mapping. Preuzeto 2026-06-24 sa https://scholargate.app/sr/compare