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This research aims to understand the complex interactions contributing to language endangerment by analyzing multiple factors together.

August 1, 2026Scientific ReportsOpen Access

Higher order interactions in global language endangerment revealed by multilayer language country bipartite network analysis

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This research aims to understand the complex interactions contributing to language endangerment by analyzing multiple factors together.
Developed a three-layer language-country bipartite network for 7010 languages based on writing system and official use.
Addressed interactions related to geographical distribution, historical contexts, and economic conditions.
Utilized random forest regression to evaluate the importance of various endangerment factors.
Identified high-risk areas classified as written-severe, unwritten-severe, and both-severe based on writing systems.
Extractive and settler colonization consistently associated with language endangerment across different contexts.
National wealth level linked to endangerment among unofficially used languages lacking writing systems.

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Randomized trial examines combined factors affecting language endangerment, indicating new policy implications.

Nomura et al. (2026) studied this question.

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