Multi-Level Graph Representation for Big Data Arising in Science Mapping (Dagstuhl Seminar 21152)

Dagstuhl reports Pub Date : 2021-01-01 DOI:10.4230/DagRep.11.3.1

K. Börner, S. Kobourov

{"title":"Multi-Level Graph Representation for Big Data Arising in Science Mapping (Dagstuhl Seminar 21152)","authors":"K. Börner, S. Kobourov","doi":"10.4230/DagRep.11.3.1","DOIUrl":null,"url":null,"abstract":"This report documents the program and the outcomes of Dagstuhl Seminar 21152 “Multi-Level Graph Representation for Big Data Arising in Science Mapping.” The seminar brought together researchers coming from information visualization, psychology, cognitive science, human-computer interaction, graph drawing, computational geometry, and cartography with interests in the “science of science” to discuss novel graph mining and layout algorithms and their application to the development of science mapping standards and services. Due to the pandemic, this was a “hybrid” event with only 5 in-person participants and 25 by-zoom participants from over ten different countries and at least five different time-zones. There were three overview talks and four special presentations (evening webinars) from different communities represented in the seminar. Abstracts of these talks and presentations are collected in this report. Three working groups formed around open research problems related to the seminar topic and we report about their findings. Seminar April 11–16, 2021 – http://www.dagstuhl.de/21152 2012 ACM Subject Classification Theory of computation → Design and analysis of algorithms; Human-centered computing → Visualization design and evaluation methods","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"11 1","pages":"1-15"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dagstuhl reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/DagRep.11.3.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 21152 “Multi-Level Graph Representation for Big Data Arising in Science Mapping.” The seminar brought together researchers coming from information visualization, psychology, cognitive science, human-computer interaction, graph drawing, computational geometry, and cartography with interests in the “science of science” to discuss novel graph mining and layout algorithms and their application to the development of science mapping standards and services. Due to the pandemic, this was a “hybrid” event with only 5 in-person participants and 25 by-zoom participants from over ten different countries and at least five different time-zones. There were three overview talks and four special presentations (evening webinars) from different communities represented in the seminar. Abstracts of these talks and presentations are collected in this report. Three working groups formed around open research problems related to the seminar topic and we report about their findings. Seminar April 11–16, 2021 – http://www.dagstuhl.de/21152 2012 ACM Subject Classification Theory of computation → Design and analysis of algorithms; Human-centered computing → Visualization design and evaluation methods

查看原文本刊更多论文

科学制图中大数据的多层次图表示(Dagstuhl Seminar 21152)

本报告记录了Dagstuhl研讨会21152“科学制图中出现的大数据的多层次图表示”的计划和成果。研讨会汇集了来自信息可视化、心理学、认知科学、人机交互、图形绘制、计算几何和地图学等领域的研究人员，他们对“科学的科学”感兴趣，讨论了新的图形挖掘和布局算法及其在科学制图标准和服务开发中的应用。由于大流行，这是一个“混合”活动，只有5名亲自参加的参与者和25名来自10多个不同国家和至少5个不同时区的参与者。研讨会上有来自不同社区的三场概述讲座和四场特别演讲(晚间网络研讨会)。本报告收集了这些谈话和报告的摘要。围绕与研讨会主题相关的开放研究问题组成了三个工作组，我们报告他们的发现。研讨会2021年4月11-16日- http://www.dagstuhl.de/21152 2012 ACM学科分类计算理论→算法设计与分析;以人为本→可视化设计与评价方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Dagstuhl reports

自引率

0.00%

发文量