In hybrid workforce configurations, it is important to decide which employees should work onsite or remotely while ensuring the collaboration benefits against contact-based health risks and skill requirements. In this paper, we formulate the Risk-aware Skill-coverage Hybrid Workforce Configuration (RSHWC) problem on a two-layer social network that balances physical contact risks and social collaboration ties to meet skill requirements. We prove that RSHWC is NP-hard and propose the Guided Risk-aware Iterative Assembling (GRIA) algorithm, a multi-stage algorithm that combines risk-aware workforce construction, skill-preserving workforce refinement, and risk-reducing member replacement. Experiments on four real-world networks show that GRIA consistently outperforms state-of-the-art baselines under various settings.
@article{arxiv.2603.00727,
title = {Risk-Aware Skill-Coverage Hybrid Workforce Configuration on Social Networks},
author = {Hui-Ju Hung and Guang-Siang Lee and Chia-Hsun Lu and Chih-Ya Shen and De-Nian Yang},
journal= {arXiv preprint arXiv:2603.00727},
year = {2026}
}