Submissions due: 10 October 2022
Publication: May/June 2023
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
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.
Contact the guest editors at firstname.lastname@example.org.
- Karsten Klein (Universität Konstanz, Germany)
- Hsiang-Yun Wu (St. Pölten University of Applied Sciences, Austria)
- Da Yan (The University of Alabama at Birmingham, USA)