Network Visualization Survey

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F15%3A50003848" target="_blank" >RIV/62690094:18450/15:50003848 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-24306-1_27" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24306-1_27</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24306-1_27" target="_blank" >10.1007/978-3-319-24306-1_27</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Network Visualization Survey

Popis výsledku v původním jazyce

This paper compares modern approaches to draw complex graph data that create create compelling visualizations. Graphs are used to represent more and more complex systems that are used across various scientific domains. Some graph visualizations are usedto model network topologies or service architectures in information service fields, model genomes in biomedicine or complex molecules in chemistry. Visualizations of graph data play important role in interpreting the meaning of graphed data. The adage "Apicture is worth a thousand words" generally refers to the notion that a complex idea can be conveyed with just a single still image and that is actually the main reason for creating visualisations of any kind. Graph drawings from all domains follow thesame rules covered by the graph theory. This work outlines different layout strategies used for drawing graph data. Tested graph drawing layouts are compared by standard quality measures to determine their suitability for various areas o

Název v anglickém jazyce

Network Visualization Survey

Popis výsledku anglicky

This paper compares modern approaches to draw complex graph data that create create compelling visualizations. Graphs are used to represent more and more complex systems that are used across various scientific domains. Some graph visualizations are usedto model network topologies or service architectures in information service fields, model genomes in biomedicine or complex molecules in chemistry. Visualizations of graph data play important role in interpreting the meaning of graphed data. The adage "Apicture is worth a thousand words" generally refers to the notion that a complex idea can be conveyed with just a single still image and that is actually the main reason for creating visualisations of any kind. Graph drawings from all domains follow thesame rules covered by the graph theory. This work outlines different layout strategies used for drawing graph data. Tested graph drawing layouts are compared by standard quality measures to determine their suitability for various areas o

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computational collective intelligence. Part II.

ISBN

978-3-319-24306-1

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

275-284

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Madrid

Datum konání akce

21. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000366123600027