MuzLink: Connected beeswarm timelines for visual analysis of musical adaptations and artist relationships

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
F. Lévesque, Thomas Hurtut
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引用次数: 3

Abstract

The rise of open data in the cultural domain is democratizing access to complex datasets usually presented as large multivariate and multilayered graphs. However, the exploration of such datasets is challenging for laypersons. The objective of this work is to develop and evaluate a new method for exploring and understanding a specific type of multilayered graph that combines a large bipartite graph with a set of tree structures. This paper proposes MuzLink, an interactive visualization tool that allows the user to navigate, search, locate, and compare collaborative and influential relationships between musical artists through the exploration of musical adaptations. The proposed tool is based on a set of connected timelines visualizing how an artist’s collaborations, inspirations, and influences evolved over time. This design study is conducted in close collaboration with BAnQ, the national library and archives agency of the Quebec government. A controlled user study, done with a group of BAnQ users, and two case studies, show how the proposed approach is capable of performing a considerable set of analytical and exploratory tasks.
MuzLink:连接蜂群时间线,用于音乐改编和艺术家关系的视觉分析
开放数据在文化领域的兴起,使得对复杂数据集的访问民主化,这些数据集通常以大型多元和多层图的形式呈现。然而,对这些数据集的探索对于外行人来说是具有挑战性的。这项工作的目的是开发和评估一种新的方法来探索和理解一种特殊类型的多层图,这种多层图结合了一个大的二部图和一组树结构。本文提出了MuzLink,这是一个交互式可视化工具,允许用户通过探索音乐改编来导航、搜索、定位和比较音乐艺术家之间的合作和影响关系。该工具基于一组相互关联的时间轴,可视化艺术家的合作、灵感和影响是如何随着时间的推移而演变的。这项设计研究是与魁北克政府的国家图书馆和档案机构BAnQ密切合作进行的。对一组BAnQ用户进行的受控用户研究和两个案例研究表明,所建议的方法如何能够执行大量的分析和探索性任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
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