Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations

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.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/vis55277.2024.00037
Citations
2
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.56
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article

Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations

Jinwook Seo, Kiroong Choe, Eun‐Hye Kim, Sangwon Park
2 citations
Complex Network Analysis Techniques
0.56
article

Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations

Jinwook Seo, Kiroong Choe, Eun‐Hye Kim, Sangwon Park
article en
2 citations

Abstract

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.

Seoul National University (KR)
Openalex Percentile: Top 33%
Complex Network Analysis Techniques
0.56
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