Special Issue: Networks and Graphs for Engineering Systems and Design
In the ever-evolving landscape of engineering, the fusion of network science and graph theories has emerged as a dynamic force, revolutionizing the way we represent, design, model, and optimize complex systems. Networks, defined by nodes and edges, are particularly effective in modeling the interaction and interdependency among individual entities in complex systems. Networks have become the cornerstone for comprehending the intricate relationships underlying a myriad of engineering domains. From transportation networks optimizing urban mobility, power grids ensuring energy efficiency and resilience, and social networks shaping human interactions to biological networks inspiring human-engineered system design, the application of network science and graphs in engineering spans a vast spectrum of disciplines. This special issue is dedicated to promoting the dissemination of knowledge related to complex networks in engineering systems and design and highlighting the latest advances at the intersection of network science, graph theory, and engineering.
Authors
- Astrid Layton (ORCID: https://orcid.org/0000-0003-3790-2916)
- Babak Heydari (ORCID: https://orcid.org/0000-0002-4964-8655)
- Zhenghui Sha (ORCID: https://orcid.org/0000-0003-3267-0941)
- Douglas L. Van Bossuyt (ORCID: https://orcid.org/0000-0001-9910-371X)
Institutions
- The Huntington Library, Art Museum, and Botanical Gardens (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Journal of Computing and Information Science in Engineering
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1115/1.4068457
- Citations
- 1
- Primary Topic
- Model-Driven Software Engineering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.31