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Erschienen in: Journal of Visualization 2/2021

13.10.2020 | Regular Paper

ConfVisExplorer: a literature-based visual analysis system for conference comparison

verfasst von: Kaixin Chen, Yang Wang, Minzhu Yu, Han-Wei Shen, Xiaomin Yu, Guihua Shan

Erschienen in: Journal of Visualization | Ausgabe 2/2021

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Abstract

Given a research field, there are usually multiple conferences with different sizes and characteristics, and not all researchers have equal participations in all those conferences. For a conference organizer, knowing the level of involvements by the researchers in the field will allow them to put effort into broadening the participation and enrich the research scope. For researchers, knowing the different strengths and focuses of those conferences also allows them to enhance the effectiveness of their effort and the visibility of their works. In recent years, analyzing scientific literature by visualization has become a popular topic, but most of them focus only on the overall characteristics of publications such as authors, citations, and topics. This study focuses on the analysis and comparisons of academic conferences. In this paper, we present the Conference Orange, a new visual metaphor for analyzing and comparing the characteristics of multiple conferences. First, we propose an assessment framework to describe the maturity of the conferences. Second, we map the metrics in the framework to different diagrams for visual analysis and comparison. Third, we design and implement ConfVisExplorer, a multi-view interactive visual system that combines these diagrams, which helps users to explore the structure of the conferences and the attributes in context, such as authors and institutions. Finally, we conduct case studies to demonstrate the effectiveness of the system.

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Metadaten
Titel
ConfVisExplorer: a literature-based visual analysis system for conference comparison
verfasst von
Kaixin Chen
Yang Wang
Minzhu Yu
Han-Wei Shen
Xiaomin Yu
Guihua Shan
Publikationsdatum
13.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 2/2021
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-020-00703-5

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