Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866929647414935552 |
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| author | Choe, Kiroong Kim, Eunhye Park, Sangwon Seo, Jinwook |
| author_facet | Choe, Kiroong Kim, Eunhye Park, Sangwon Seo, Jinwook |
| contents | Visualizing citation relations with network structures is widely used, but the visual complexity can make it challenging for individual researchers trying to navigate them. We collected data from 18 researchers with an interface that we designed using network simplification methods and analyzed how users browsed and identified important papers. Our analysis reveals six major patterns used for identifying papers of interest, which can be categorized into three key components: Fields, Bridges, and Foundations, each viewed from two distinct perspectives: layout-oriented and connection-oriented. The connection-oriented approach was found to be more reliable for selecting relevant papers, but the layout-oriented method was adopted more often, even though it led to unexpected results and user frustration. Our findings emphasize the importance of integrating these components and the necessity to balance visual layouts with meaningful connections to enhance the effectiveness of citation networks in academic browsing systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_07267 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations Choe, Kiroong Kim, Eunhye Park, Sangwon Seo, Jinwook Human-Computer Interaction Visualizing citation relations with network structures is widely used, but the visual complexity can make it challenging for individual researchers trying to navigate them. We collected data from 18 researchers with an interface that we designed using network simplification methods and analyzed how users browsed and identified important papers. Our analysis reveals six major patterns used for identifying papers of interest, which can be categorized into three key components: Fields, Bridges, and Foundations, each viewed from two distinct perspectives: layout-oriented and connection-oriented. The connection-oriented approach was found to be more reliable for selecting relevant papers, but the layout-oriented method was adopted more often, even though it led to unexpected results and user frustration. Our findings emphasize the importance of integrating these components and the necessity to balance visual layouts with meaningful connections to enhance the effectiveness of citation networks in academic browsing systems. |
| title | Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2405.07267 |