Blockmap: an interactive visualization tool for big-data networks

2017 ◽  
Vol 24 (2) ◽  
pp. 149-168 ◽  
Author(s):  
Terrill L. Frantz
Keyword(s):  
Big Data ◽  
Interactive Visualization ◽  
Data Networks ◽  
Visualization Tool

Intersection Representation of Big Data Networks and Triangle Counting

2021 ◽  
Author(s):  
Wali Mohammad Abdullah ◽  
David Awosoga ◽  
Shahadat Hossain
Keyword(s):  
Big Data ◽  
Data Networks ◽  
Triangle Counting

scholarly journals ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence

2012 ◽  
Vol 29 (3) ◽  
pp. 402-403 ◽  
Author(s):  
D. M. Reif ◽  
M. Sypa ◽  
E. F. Lock ◽  
F. A. Wright ◽  
A. Wilson ◽  
...  
Keyword(s):  
Interactive Visualization ◽  
Visualization Tool

Big Data Networks

2020 ◽  
pp. 106-111
Author(s):  
Shigeng Zhang
Keyword(s):  
Big Data ◽  
Data Networks

A visualization tool for citizen-science marine debris big data

2021 ◽  
pp. 76-88
Author(s):  
Graeme F. Clark ◽  
Jordan Gacutan ◽  
Robert Lawther ◽  
Emma L. Johnston ◽  
Heidi Tait ◽  
...  
Keyword(s):  
Big Data ◽  
Citizen Science ◽  
Marine Debris ◽  
Visualization Tool

Interactive Visualization for Group Decision Analysis

2018 ◽  
Vol 17 (06) ◽  
pp. 1839-1864 ◽  
Author(s):  
S. Bajracharya ◽  
G. Carenini ◽  
B. Chamberlain ◽  
K. Chen ◽  
D. Klein ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Information Exchange ◽  
Group Decision ◽  
Interactive Visualization ◽  
Visualization Tool ◽  
Domain Experts ◽  
Individual Preferences ◽  
Trade Offs ◽  
Group Members ◽  
Multi Stakeholder

Identifying the best solutions to large infrastructure decisions is a context-dependent multi-dimensional multi-stakeholder challenge in which competing objectives must be identified and trade-offs made. Our aim is to identify and explore features in an interactive visualization tool to help make group decision analysis more participatory, transparent, and comprehensible. We extended the interactive visualization tool ValueCharts to create Group ValueCharts. The new tool was introduced in two real-world scenarios in which stakeholders were in the midst of wrestling with decisions about infrastructure investment. We modeled the alternatives under consideration, for both scenarios, using prescribed criteria identified by domain experts. Participants in both groups were given instructions on how to use the tool to represent their preferences. Preferences for all participants were then displayed and discussed. The discussions were audio-recorded and the participants were surveyed to evaluate usability. The results indicate that participants felt the tool improved group interaction and information exchange and made the discussion more participatory. They expressed that visualizing individual preferences improved the ability to analyze decision outcomes based on everyone’s preferences. Additionally, the participants strongly concurred that the tool revealed disagreements and agreements and helped identify sticking points. These results suggest that a group decision tool that allows group members to input their individual preferences and then collectively probe into any differences makes the process of decision-making more participatory, transparent, and comprehensible and increases the quality and quantity of information exchange.

Big Data Networks

2019 ◽  
pp. 1-5
Author(s):  
Shigeng Zhang
Keyword(s):  
Big Data ◽  
Data Networks

FEView: An interactive visualization tool for finite elements

1995 ◽  
Vol 19 (4) ◽  
pp. 261-294 ◽  
Author(s):  
Yao Zheng ◽  
Roland W. Lewis ◽  
David T. Gethin
Keyword(s):  
Finite Elements ◽  
Interactive Visualization ◽  
Visualization Tool
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