A Visualization Framework and User Studies for Overloaded Orthogonal Drawings

Didimo, Walter; Kornaropoulos, Evgenios M.; Montecchiani, Fabrizio; Tollis, Ioannis G.

doi:10.1111/cgf.13266

Cited by 10 publications

(6 citation statements)

References 66 publications

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“…There is a series of works that compare node-link diagrams with matrix-based representations [48], [49], [50], [51], [52], [53], [54], [55]. A common finding of these studies is that node-link diagrams have usually better performance on topology and connectivity tasks when graphs are not too large and dense, while matrices perform better on group tasks.…”

Section: User Studies In Graph Drawing and Network Visualizationmentioning

confidence: 99%

Comparative Study and Evaluation of Hybrid Visualizations of Graphs

Giacomo

Didimo

Liotta

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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Hybrid visualizations combine different metaphors into a single network layout, in order to help humans in finding the "right way" of displaying the different portions of the network, especially when it is globally sparse and locally dense. We investigate hybrid visualizations in two complementary directions: (i) On the one hand, we evaluate the effectiveness of different hybrid visualization models through a comparative user study; (ii) On the other hand, we estimate the usefulness of an interactive visualization that integrates all the considered hybrid models together. The results of our study provide some hints about the usefulness of the different hybrid visualizations for specific tasks of analysis and indicates that integrating different hybrid models into a single visualization may offer a valuable tool of analysis.

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Section: User Studies In Graph Drawing and Network Visualizationmentioning

confidence: 99%

Comparative Study and Evaluation of Hybrid Visualizations of Graphs

Giacomo

Didimo

Liotta

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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“…Indeed, concentrating on few representative tasks is a common approach for this kind of experiments (see, e.g. [BLMT16, DKMT18, GFC04, DDL*14, PHNK12]). Our tasks are as follows:…”

Section: User Studymentioning

confidence: 99%

Placing Arrows in Directed Graph Layouts: Algorithms and Experiments

Binucci

Didimo

Kaufmann

et al. 2022

Computer Graphics Forum

Self Cite

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We study how to place arrow heads in directed graph drawings aiming at minimizing their overlaps and avoiding intersections between arrow heads and edges. The objective is to support users to correctly and quickly recognize edge orientations, i.e. to deduce unambiguously the edge orientations. Our contribution is two‐fold: (i) We present exact and heuristic algorithms for this arrow placement problem, along with an extensive experimental analysis of these techniques; and (ii) we report on a user study aimed to understand the impact of different arrow placement strategies on performing global and local analysis tasks on directed graph layouts.

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“…Hierarchical layout was also one of four layouts compared by Didimo et al [81] for directed graphs (see Figure 5). Specifically, overloaded orthogonal, orthogonal, hierarchical graph layouts as well as matrix representations were compared in a user study involving 21 participants.…”

Section: A: Layout Algorithmsmentioning

confidence: 99%

“…Even semantics was useful to better explore a graph [75], for example, in the form of a UML diagram [76]- [78]. Strategic exploration patterns were detected in hierarchical layouts [79]- [81] and force-directed layouts [85], also by using eye tracking, uncovering complex reading processes in radial graph diagrams [82]. Lombardi drawings are preferred [84], but due to their curved edges, they lead to bad performances.…”

Section: A: Layout Algorithmsmentioning

confidence: 99%

The State of the Art in Empirical User Evaluation of Graph Visualizations

et al. 2021

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While graph drawing focuses more on the aesthetic representation of node-link diagrams, graph visualization takes into account other visual metaphors making them useful for graph exploration tasks in information visualization and visual analytics. Although there are aesthetic graph drawing criteria that describe how a graph should be presented to make it faster and more reliably explorable, many controlled and uncontrolled empirical user studies flourished over the past years. The goal of them is to uncover how well the human user performs graph-specific tasks, in many cases compared to previously designed graph visualizations. Due to the fact that many parameters in a graph dataset as well as the visual representation of them might be varied and many user studies have been conducted in this space, a state-of-the-art survey is needed to understand evaluation results and findings to inform the future design, research, and application of graph visualizations. In this article, we classify the present literature on the topmost level into graph interpretation, graph memorability, and graph creation where the users with their tasks stand in focus of the evaluation, not the computational aspects. As another outcome of this work, we identify the white spots in this field and sketch ideas for future research directions.

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A Visualization Framework and User Studies for Overloaded Orthogonal Drawings

Cited by 10 publications

References 66 publications

Comparative Study and Evaluation of Hybrid Visualizations of Graphs

Comparative Study and Evaluation of Hybrid Visualizations of Graphs

Placing Arrows in Directed Graph Layouts: Algorithms and Experiments

The State of the Art in Empirical User Evaluation of Graph Visualizations

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