Die Arbeitsgruppe zieht um!

Wir wechseln im Wintersemester 2021/22 an die Universität Bamberg. Ab 15. Oktober 2021 übernimmt Fabian Beck den dortigen Lehrstuhl für Informationsvisualisierung.

Neue Webseite der Arbeitsgruppe: https://www.uni-bamberg.de/vis

Publikationen

Publikationen der Arbeitsgruppe, die seit 2016 erschienen sind. Frühere Publikationen von Fabian Beck sind auf Google Scholar oder DBLP zu finden.

Visual Analysis and Dissemination of Scientific Literature Collections with SurVis

Art der Publikation: Beitrag in Zeitschrift

Visual Analysis and Dissemination of Scientific Literature Collections with SurVis

Autor(en):
Beck, Fabian; Koch, Sebastian; Weiskopf, Daniel
Titel der Zeitschrift:
IEEE Transactions on Visualization and Computer Graphics
Jahrgang (Veröffentlichung):
22 (2016)
Heftnummer:
1
Seiten:
180-189
Digital Object Identifier (DOI):
doi:10.1109/TVCG.2015.2467757
Volltext:
Visual Analysis and Dissemination of Scientific Literature Collections with SurVis (1.21 MB)
Zitation:
Download BibTeX

Kurzfassung

Bibliographic data such as collections of scientific articles and citation networks have been studied extensively in information visualization and visual analytics research. Powerful systems have been built to support various types of bibliographic analysis, but they require some training and cannot be used to disseminate the insights gained. In contrast, we focused on developing a more accessible visual analytics system, called SurVis, that is ready to disseminate a carefully surveyed literature collection. The authors of a survey may use our Web-based system to structure and analyze their literature database. Later, readers of the survey can obtain an overview, quickly retrieve specific publications, and reproduce or extend the original bibliographic analysis. Our system employs a set of selectors that enable users to filter and browse the literature collection as well as to control interactive visualizations. The versatile selector concept includes selectors for textual search, filtering by keywords and meta-information, selection and clustering of similar publications, and following citation links. Agreement to the selector is represented by word-sized sparkline visualizations seamlessly integrated into the user interface. Based on an analysis of the analytical reasoning process, we derived requirements for the system. We developed the system in a formative way involving other researchers writing literature surveys. A questionnaire study with 14 visual analytics experts confirms that SurVis meets the initially formulated requirements.