HCSIAug 23, 2020

Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs

arXiv:2008.10039v13 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for HR specialists to analyze recruitment trends more efficiently, though it is incremental as it applies existing visualization techniques to a specific domain.

The authors tackled the problem of manually analyzing unnormalized annual recruitment data by proposing the Panacea visualization system, which integrates a time-varying graph model and dynamic graph visualization to allow HR specialists to interactively inspect relationships between applicant attributes across multiple years, as demonstrated with real-world datasets and user feedback.

Annual recruitment data of new graduates are manually analyzed by human resources specialists (HR) in industries, which signifies the need to evaluate the recruitment strategy of HR specialists. Every year, different applicants send in job applications to companies. The relationships between applicants' attributes (e.g., English skill or academic credential) can be used to analyze the changes in recruitment trends across multiple years' data. However, most attributes are unnormalized and thus require thorough preprocessing. Such unnormalized data hinder the effective comparison of the relationship between applicants in the early stage of data analysis. Thus, a visual exploration system is highly needed to gain insight from the overview of the relationship between applicants across multiple years. In this study, we propose the Polarizing Attributes for Network Analysis of Correlation on Entities Association (Panacea) visualization system. The proposed system integrates a time-varying graph model and dynamic graph visualization for heterogeneous tabular data. Using this system, human resource specialists can interactively inspect the relationships between two attributes of prospective employees across multiple years. Further, we demonstrate the usability of Panacea with representative examples for finding hidden trends in real-world datasets and then describe HR specialists' feedback obtained throughout Panacea's development. The proposed Panacea system enables HR specialists to visually explore the annual recruitment of new graduates.

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