[GDNET] Call for Papers: IEEE CG&A Special Issue on Integrating Graph Databases and Network Visualization: Concepts and Applications

[Hsiang-Yun Wu]

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Important Dates
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Submissions due: 10 October 2022
Publication: May/June 2023

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IEEE CG&A Special Issue on
Integrating Graph Databases and Network Visualization: Concepts and Applications
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Network analytics through interactive network visualization has been
essential in many research areas as well as in commercial
applications, including use cases in bioinformatics, biomedicine,
security, social science, and knowledge graph exploration. More and
more often, networks and the associated analysis process are supported
by graph databases with advanced query engines and indexing
techniques. Graph databases have seen substantial contributions by
academia and gained strong momentum in the industry, where the focus
is on scalable systems using graph query languages that require to be
learned by users. Even though the Graph Database and Network
Visualization communities study the same object—a graph that models
relations between entities—albeit from different perspectives, the
extent of communication between the communities has so far been much
smaller than could be expected. Research and development in both
communities could cross-fertilize each other by providing new
perspectives, challenges, methodologies, and practical solutions.
Thus, we aim to initiate and foster mutual communication and joint
work with this call for papers that addresses both communities.

This special issue aims at highlighting the challenges and the
potential of combining concepts and approaches from graph databases
and network visualization. Thus, we invite contributions that
investigate such challenges and potential, and present corresponding
concepts, methodological advances, practical implementations, or
applications.

Topics include, but are not limited to:

- Network visualization approaches that target the use case of graph databases
- Visual graph query paradigms
- Responsive visualization of graph query results
- Integrative approaches such as better database structure support for
visual interactions or better update schemes through visualizations
- Visual scalability and computational performance, in particular
investigating the specific requirements of use cases associated with
graph databases
- Evaluation, e.g., qualitative or quantitative performance studies
- Workflow model specifications
- Approaches that aim at integrating fundamental concepts used in the
two research areas
- Domain-oriented applications

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Submission Guidelines
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For author information and guidelines on submission criteria, please
visit the CG&A Author Information page. Please submit papers through
the ScholarOne system, and be sure to select the special-issue name.
Manuscripts should not be published or currently submitted for
publication elsewhere. Please submit only full papers intended for
review, not abstracts, to the ScholarOne portal.
https://www.computer.org/digital-library/magazines/cg/cfp-databases-network-visualization


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Questions?
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Contact the guest editors at cga3-2023 at computer.org.

Guest Editors

Karsten Klein (Universität Konstanz, Germany)
Hsiang-Yun Wu (St. Pölten University of Applied Sciences, Austria)
Da Yan (The University of Alabama at Birmingham, USA)

-- 
Dr. Hsiang-Yun WU
Senior Researcher and Lecturer

St. Pölten University of Applied Sciences
Campus-Platz 1, A-3100 St. Pölten, Austria
Phone: +43-676847228445
Fax: +43-2742/313 228 – 609
E-mail: hsiang.yun.wu at acm.org, hsiang-yun.wu at fhstp.ac.at
URL: https://yun-vis.net/
URL: https://www.fhstp.ac.at/en/about-us/staff-a-z/wu-hsiang-yun