Emerging Applications of Complex Networks
1Universidad Nacional de Colombia, Manizales, Colombia
2University of Zaragoza, Zaragoza, Spain
3Universidad Nacional de Colombia, Bogotá, Colombia
Emerging Applications of Complex Networks
Description
A large amount of research is available on complex networks modeling and simulation, with applications to smart grids and energy, vehicular traffic, diseases and epidemics, ecosystems, supply chains, financial systems, social science, urban environment, and so on. However, there are still some topics where complex networks are just starting to pursue their role.
With new hybrid mathematical modeling tools and the power of computation, there is a broad range of emerging applications. Thus novel research focuses on these topics, like arts and literature, human senses, medicine and physiology, psychology, lifestyle, philosophy, and project management.
The purpose of this special issue is to publish high-quality research papers as well as review articles addressing recent advances on combining complex networks and other mathematical modeling tools. Methods must be well-supported in order to fit adequately to the existing theories. All papers must be focused to any of those emerging applications and include numerical simulations and experimental data. Original, high-quality contributions that are not yet published or that are not currently under review by other journals or peer-reviewed conferences are sought.
Potential topics include but are not limited to the following:
- Complex networks in arts and literature (painting, sculpture, music, and theater)
- Complex networks in human senses (applications to gastronomy, environmental gastronomy, and wine tasting)
- Complex networks in psychology applications (healthy lifestyle, conflicts, and meditation)
- Complex networks in design (structures, buildings, interior design, and ecodesign)
- Complex networks and management (modeling and simulation of complex projects management)
- Complex networks in philosophy (linking complex thinking with modeling and simulation of complex networks)