Results 1 to 10 of about 206 (191)

Edge bundling in information visualization [PDF]

open access: yesTsinghua Science and Technology, 2013
The edge, which can encode relational data in graphs and multidimensional data in parallel coordinates plots, is an important visual primitive for encoding data in information visualization research.
Qu Huamin, Xiaoru Yuan, Hong Zhou
exaly   +5 more sources

An Evolutionary Algorithm for an Optimization Model of Edge Bundling [PDF]

open access: yesInformation (Switzerland), 2018
This paper discusses three edge bundling optimization problems that aim to minimize the total number of bundles of a graph drawing, in conjunction with other aspects, as the main goal.
Hugo do Nascimento
exaly   +4 more sources

Similarity-Driven Edge Bundling: Data-Oriented Clutter Reduction in Graphs Layouts

open access: yesAlgorithms, 2020
Graph visualization has been successfully applied in a wide range of problems and applications. Although different approaches are available to create visual representations, most of them suffer from clutter when faced with many nodes and/or edges.
Fernando Paulovich   +2 more
exaly   +3 more sources

An Information-Theoretic Framework for Evaluating Edge Bundling Visualization

open access: yesEntropy, 2018
Edge bundling is a promising graph visualization approach to simplifying the visual result of a graph drawing. Plenty of edge bundling methods have been developed to generate diverse graph layouts.
Hongfeng Yu, Jieting Wu, Feiyu Zhu
exaly   +3 more sources

Edge Bundling Method Based on Homologous Control Points [PDF]

open access: yesJisuanji kexue, 2022
Edge bundling is an effective method to reduce the visual clutter caused by the visualization of the node-link diagram with a large number of complex connections.Generally,the edge bundling based on spatial proximity will lead to independent edge ...
LIU Meng-xin, ZHANG Fan, LI Tian-rui
doaj   +1 more source

Edge routing with ordered bundles [PDF]

open access: yesComputational Geometry, 2012
Edge bundling reduces the visual clutter in a drawing of a graph by uniting the edges into bundles. We propose a method of edge bundling drawing each edge of a bundle separately as in metro-maps and call our method ordered bundles. To produce aesthetically looking edge routes it minimizes a cost function on the edges.
Sergey Pupyrev   +3 more
openaire   +4 more sources

Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem

open access: yesBig Data and Cognitive Computing, 2023
Social networks have become important objects of study in recent years. Social media marketing has, for example, greatly benefited from the vast literature developed in the past two decades.
Mario Michelessa   +5 more
doaj   +1 more source

linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser.

open access: yesPLoS Computational Biology, 2021
In biology, we are often confronted with information-rich, large-scale trajectory data, but exploring and communicating patterns in such data can be a cumbersome task.
Johannes Waschke   +6 more
doaj   +2 more sources

Multilayer graph edge bundling [PDF]

open access: yes2016 IEEE Pacific Visualization Symposium (PacificVis), 2016
Many real world information can be represented by a graph with a set of nodes interconnected with each other by multiple type of relations called edge layers (e.g., social network, biological data). Edge bundling techniques have been proposed to solve cluttering issue for standard graphs while few efforts were done to deal with the similar issue for ...
Romain Bourqui   +3 more
openaire   +1 more source

Actin filament attachments for sustained motility in vitro are maintained by filament bundling. [PDF]

open access: yesPLoS ONE, 2012
We reconstructed cellular motility in vitro from individual proteins to investigate how actin filaments are organized at the leading edge. Using total internal reflection fluorescence microscopy of actin filaments, we tested how profilin, Arp2/3, and ...
Xiaohua Hu, Jeffrey R Kuhn
doaj   +1 more source

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