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Author: search.filters.author.Heetae Kim

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    Structural gender imbalances in ballet collaboration networks
    (2023)
    HERRERA GUZMÁN, YESSICA  
    ;
    Eun Lee
    ;
    Heetae Kim
    Ballet, a mainstream performing art predominantly associated with women, exhibits significant gender imbalances in leading positions. However, the collaboration’s structural composition vis-à-vis gender representation in the field remains unexplored. Our study investigates the gendered labor force composition and collaboration patterns in ballet creations. Our findings reveal gender disparities in ballet creations aligned with gendered collaboration patterns and women’s occupation of more peripheral network positions than men. Productivity disparities show women accessing 20–25% of ballet creations compared to men. Mathematically derived perception errors show the underestimation of women artists’ representation within ballet collaboration networks, potentially impacting women’s careers in the field. Our study highlights the structural imbalances that women face in ballet creations and emphasizes the need for a more inclusive and equal professional environment in the ballet industry. These insights contribute to a broader understanding of structural gender imbalances in artistic domains and can inform cultural organizations about potential affirmative actions toward a better representation of women leaders in ballet.
    Scopus© Citations 2  2
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    Consistency landscape of network communities
    (2021)
    Daekyung Lee
    ;
    Sang Hoon Lee
    ;
    Beom Jun Kim
    ;
    Heetae Kim
      18Scopus© Citations 15
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    How modular structure determines operational resilience of power grids
    (2021)
    Heetae Kim
    The synchronization stability has been analyzed as one of the important dynamical characteristics of power grids. In this study, we bring the operational perspective to the synchronization stability analysis by counting not only full but also partial synchronization between nodes. To do so, we introduce two distinct measures that estimate the operational resilience of power-grid nodes: functional secureness centrality and functional robustness centrality. We demonstrate the practical applicability of the measures in a model network motif and an IEEE test power grid. As a case study of German power grid, we reveal that the modular structure of a power grid and particular unidirectional current flow determine the distribution of the operational resilience of power-grid nodes. Reproducing our finding on clustered benchmark networks, we validate the modular effect on power grid stability and confirm that our measures can be the insightful tools to understand the power grids’ synchronization dynamics.
      17Scopus© Citations 3
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    Power-grid stability predictions using transferable machine learning
    (2021)
    Seong-Gyu Yang
    ;
    Beom Jun Kim
    ;
    Seung-Woo Son
    ;
    Heetae Kim
    Scopus© Citations 10  1
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    Synchronization of active rotators interacting with environment
    (2020)
    Taegeun Song
    ;
    Heetae Kim
    ;
    Seung-Woo Son
    ;
    Junghyo Jo
      23Scopus© Citations 4