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LinkedIn skill network dataset: 2.4 million US workers, 16,753 skills, 556,206 directed edges, 12 skill domains

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Evidence · 5 claims (5 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 5 claims rest on one study

Description

A Carpanelli et al. dataset linking self-reported LinkedIn skills for approximately 2.4 million US workers into a directed skill network for studying skill complexity, occupational mobility, and AI-skill adoption.

Components

  • LinkedIn skill network dataset: 2.4 million US workers, 16,753 skills, 556,206 directed edges, 12 skill domains: A longitudinal individual-year panel built from LinkedIn profiles of a random sample of approximately 2.4 million US workers who listed at least five skills before 2022, with outcomes measured 2023–2025. From skill co-occurrence the authors construct a directed network in which "The resulting network contains 16,753 nodes, representing unique skills, and 556,206 directed edges, representing skill relationships. Louvain community detection identifies 12 broad skill domains." The dataset grounds all three skill complexity measures and the six resilience outcomes. (Carpanelli et al. (2026))

Claims

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Key Sources

  • Carpanelli, M., Duszynski, J. & Stephany, F. (2026). Navigating the skill diversity frontier: How skill complexity explains worker resilience. Working paper, Oxford Internet Institute. https://oii.ox.ac.uk. doi:10.48550/arxiv.2608.02102
Page metadata
Field Value
type product
id linkedin-skill-network-dataset-24-million-us-workers-16753-skills-556206-directed-edges-12
title LinkedIn skill network dataset: 2.4 million US workers, 16,753 skills, 556,206 directed edges, 12 skill domains
description A Carpanelli et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-11
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