How hypergraph-to-graph conversion affects cooperative working visualization: A Multi-metric evaluation
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发表刊物：18th CCF Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2023)
摘要：It is commonplace to use hypergraphs to represent cooperative work since hypergraphs explicitly capture complex interactions and connections, enabling researchers to analyze with ease. Nonetheless, hypergraphs are usually chaotic due to sophisticated relations between vertices. Therefore, it is necessary to look into which method prevails over other methods in specific circumstances. In our study, we propose an appraisal framework in which we use six quantitative and five qualitative metrics to assess the performance of each conversion method in terms of layout quality and effectiveness. The results show that while no method is ideal for all situations, certain methods, such as Centroid-single, perform well. Researchers can use our experiment results to select the optimal method tailored to their specific dataset and circumstances. This paper serves as researchers and practitioners choose the most suitable conversion method for their research.
合写作者：Zhihan Xiong, Ruixin Mu, Chongshen Yang, Wenjun Xie, Qiang Lu*（1-3作者为本科生）
论文类型：论文集
学科门类：工学
文献类型：C
是否译文：否
收录刊物：EI