Park et al., "Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters" (2019)
2019-08-01 → 2026-08-14
Jaehyuk Park, Ian B. Wood, Elise Jing, Azadeh Nematzadeh, Souvik Ghosh, Michael D. Conover, and Yong-Yeol Ahn, Nature Communications 10(1), 3449 (2019)
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@article{park2019laborflow,
author = {Jaehyuk Park and Ian B. Wood and Elise Jing and Azadeh Nematzadeh and Souvik Ghosh and Michael D. Conover and Yong-Yeol Ahn},
title = {Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters},
journal = {Nature Communications},
volume = {10},
number = {1},
pages = {3449},
doi = {10.1038/s41467-019-11380-w},
archivePrefix = {arXiv},
eprint = {1902.04613},
primaryClass = {cs.SI},
year = {2019},
}
Constructs a global labor-flow network from LinkedIn employment histories and identifies hierarchical geo-industrial clusters with community detection. These labor-defined clusters show stronger associations between inflows of educated workers and financial performance than conventional geographic aggregations.
Labor flow network, Economic geography, Community detection