Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs
Toshiyuki T. Yokoyama, Masashi Okada, Tadahiro Taniguchi

TL;DR
This paper introduces Panacea, a visualization system that uses time-varying graphs to help HR specialists analyze and explore trends in annual recruitment data of new graduates, revealing hidden patterns across multiple years.
Contribution
The paper presents a novel interactive visualization system combining time-varying graphs and dynamic visualization for analyzing multi-year recruitment data.
Findings
Enables interactive exploration of applicant relationships over years
Helps identify hidden recruitment trends in real-world data
Receives positive feedback from HR specialists
Abstract
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…
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