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http://elar.urfu.ru/handle/10995/90506
Title: | Are crossings important for drawing large graphs? |
Authors: | Kobourov, S. G. Pupyrev, S. Saket, B. |
Issue Date: | 2014 |
Publisher: | Springer Verlag |
Citation: | Kobourov, S. G. Are crossings important for drawing large graphs? / S. G. Kobourov, S. Pupyrev, B. Saket. — DOI 10.1007/978-3-662-45803-7_20 // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). — 2014. — Iss. 8871. — P. 234-245. |
Abstract: | Reducing the number of edge crossings is considered one of the most important graph drawing aesthetics. While real-world graphs tend to be large and dense, most of the earlier work on evaluating the impact of edge crossings utilizes relatively small graphs that are manually generated and manipulated. We study the effect on task performance of increased edge crossings in automatically generated layouts for graphs, from different datasets, with different sizes, and with different densities. The results indicate that increasing the number of crossings negatively impacts accuracy and performance time and that impact is significant for small graphs but not significant for large graphs. We also quantitatively evaluate the impact of edge crossings on crossing angles and stress in automatically constructed graph layouts. We find a moderate correlation between minimizing stress and the minimizing the number of crossings. © Springer-Verlag Berlin Heidelberg 2014. |
Keywords: | ARTIFICIAL INTELLIGENCE COMPUTER SCIENCE COMPUTERS AUTOMATICALLY GENERATED CROSSING ANGLES DIFFERENT DENSITIES DIFFERENT SIZES GRAPH DRAWING MINIMIZING THE NUMBER OF REAL-WORLD GRAPHS TASK PERFORMANCE DRAWING (GRAPHICS) |
URI: | http://elar.urfu.ru/handle/10995/90506 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 84915750123 |
WOS ID: | 000354779600020 |
PURE ID: | 434629 |
ISSN: | 0302-9743 |
DOI: | 10.1007/978-3-662-45803-7_20 |
metadata.dc.description.sponsorship: | National Science Foundation, NSF: CCF-1115971 National Science Foundation, NSF: DEB-1053573 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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File | Description | Size | Format | |
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10.1007-978-3-662-45803-7_20.pdf | 314,79 kB | Adobe PDF | View/Open |
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