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

Kiroong Choe, Eunhye Kim, Sangwon Park, Jinwook Seo

TL;DR

The paper tackles the challenge of navigating complex citation networks by designing a graph-simplification interface and conducting a study with 18 researchers to reveal six browsing patterns organized into Fields, Bridges, and Foundations, each assessed from layout-oriented and connection-oriented perspectives. The results show that while researchers prefer layout-oriented views for intuition, connection-oriented patterns yield more useful papers; a logistic regression confirms significant effects for Bridges and Foundations in the connection-oriented view and Foundations in the layout-oriented view. The work demonstrates that integrating layout and connection cues improves discovery, and highlights the need for design strategies that align visual layouts with meaningful citation relationships. Practically, the findings inform the design of academic browsing tools and suggest concrete enhancements such as explicit axes (e.g., temporal) and richer edge metadata to better support seed-paper exploration.

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.

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

TL;DR

The paper tackles the challenge of navigating complex citation networks by designing a graph-simplification interface and conducting a study with 18 researchers to reveal six browsing patterns organized into Fields, Bridges, and Foundations, each assessed from layout-oriented and connection-oriented perspectives. The results show that while researchers prefer layout-oriented views for intuition, connection-oriented patterns yield more useful papers; a logistic regression confirms significant effects for Bridges and Foundations in the connection-oriented view and Foundations in the layout-oriented view. The work demonstrates that integrating layout and connection cues improves discovery, and highlights the need for design strategies that align visual layouts with meaningful citation relationships. Practically, the findings inform the design of academic browsing tools and suggest concrete enhancements such as explicit axes (e.g., temporal) and richer edge metadata to better support seed-paper exploration.

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.
Paper Structure (10 sections, 4 figures)

This paper contains 10 sections, 4 figures.

Table of Contents

  1. Introduction
  2. Method
  3. Pilot Study
  4. Citation Network Browsing Interface
  5. Task
  6. Participants and Data Analysis
  7. Result
  8. Patterns of Browsing Citation Networks
  9. Layout vs. Connection-Oriented Perspectives
  10. Discussion

Figures (4)

  • Figure 1: A screenshot of the interface used in the experiment. After inputting seed papers (A), participants were asked to browse the citation network (B, C), identify noteworthy papers (D), and provide feedback on why they were interested in specific parts of the graph and how the papers they found were actually useful (E).
  • Figure 2: We simplified the graph by using colors on the tip of the link to indicate direction and merging nodes with identical connections.
  • Figure 3: Examples of the three layouts provided to users: force-directed (left), rank-based (center), and circular (right).
  • Figure 4: Users' evaluation of the usefulness of each pattern in post-assessment records. Note that a single post-assessment can belong to more than two types.