Graph Mining to Characterize Competition for Employment

Citation

Toulis, A., Golab, L. (2017). Graph Mining to Characterize Competition for Employment. Proceedings of the 2nd International Workshop on Network Data Analytics. doi: 10.1145/3068943.3068946.

Authors

Andrew Toulis at University of Waterloo Lukasz Golab at University of Waterloo

Related Institutions

University of Waterloo / Waterloo / Canada

Abstract

In this paper, we discuss a novel application of graph analytics to characterize competition in the workforce. We propose a methodology that relies on finding communities in a graph representing prospective employees (with edges connecting people who interviewed for the same job) and communities in a graph representing available jobs (with edges connecting jobs that interviewed the same person). We then apply the proposed methodology to a real dataset corresponding to cooperative internships offered to undergraduate students at a North American post-secondary institution, illustrating the benefits of our approach.

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