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Triadic signatures of global human mobility networks.
Muneepeerakul, Rachata; Johnson, Jeffrey C; Puma, Michael J; Zurek-Ost, Michael A.
Afiliação
  • Muneepeerakul R; Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, United States of America.
  • Johnson JC; Department of Anthropology, University of Florida, Gainesville, FL, United States of America.
  • Puma MJ; Columbia Climate School, Center for Climate Systems Research, Columbia University, New York, NY, United States of America.
  • Zurek-Ost MA; Department of Anthropology, University of Florida, Gainesville, FL, United States of America.
PLoS One ; 19(2): e0298876, 2024.
Article em En | MEDLINE | ID: mdl-38394078
ABSTRACT
Global refugee and migrant flows form complex networks with serious consequences for both sending and receiving countries as well as those in between. While several basic network properties of these networks have been documented, their finer structural character remains under-studied. One such structure is the triad significance profile (TSP). In this study, the TSPs of global refugee and migrant flow networks are assessed. Results indicate that the migrant flow network's size and TSP remain stable over the years; its TSP shares patterns with social networks such as trade networks. In contrast, the refugee network has been more dynamic and structurally unstable; its TSP shares patterns with networks in the information-processing superfamily, which includes many biological networks. Our findings demonstrate commonality between migrant and social networks as well as between refugee and biological networks, pointing to possible interdisciplinary collaboration-e.g., application of biological network theories to refugee network dynamics-, potentially furthering theoretical development with respect to both network theory and theories on human mobility.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Migrantes Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Migrantes Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article