Special Issue: Interdisciplinary Approaches for Understanding Networks and Heterogeneous Media
Guest Editors
Prof. Brij B. Gupta (MGE)
Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan, China
Email: bbgupta@asia.edu.tw
Prof. Kwok Tai Chui
Hong Kong Metropolitan University, Hong Kong, China
Email: jktchui@hkmu.edu.hk
Manuscript Topics
The study of networks and heterogeneous media is a rapidly evolving and interdisciplinary field that spans physics, engineering, mathematics, biology, and social sciences. Networks and heterogeneous media are ubiquitous in nature and human-made systems, from the intricate wiring of the human brain to the complex network of roads, power grids, and communication networks that support modern societies. Understanding these systems requires a multidisciplinary approach, combining various fields' theories, tools, and techniques. Recent advancements in the study of networks and heterogeneous media have led to the development of new theoretical models, simulation methods, and data analytics techniques that characterize and analyze complex systems. For example, network science approaches have been used to study the structure and dynamics of biological, social, and technological systems, leading to new insights into the emergence and evolution of these systems. Similarly, multiscale modeling and simulation methods have been developed to capture the intricate interactions between different components of heterogeneous media, such as the transport of fluids in porous materials or the propagation of waves in disordered media.
This special issue aims to provide a forum for leading researchers, experts, and practitioners from different disciplines to present and discuss their latest advancements, trends, and challenges in understanding networks and heterogeneous media. The special issue will feature original research articles, review articles, and case studies covering various topics related to networks and heterogeneous media. The articles will be peer-reviewed by independent experts in the field, following the journal's standard review process, to ensure high-quality and rigorous research.
The special issue will provide researchers, practitioners, and stakeholders a platform to exchange ideas, share experiences, and discuss future directions in understanding networks and heterogeneous media. It will also offer insights and best practices for designing, implementing, and evaluating interdisciplinary approaches to studying networks and heterogeneous media.
The special issue is expected to attract a diverse audience, including researchers, academics, students, industry professionals, policymakers, and regulators interested in networks and heterogeneous media.
Keywords
We invite original research articles, review articles, and case studies covering the following topics, but not limited to:
• Theoretical models and methods for understanding networks and heterogeneous media;
• Multiscale modeling and simulation of networks and heterogeneous media;
• Statistical physics of complex networks and heterogeneous media;
• Network science approaches to studying biological, social, and technological systems;
• Applications of machine learning and data analytics in studying networks and heterogeneous media;
• Control and optimization of networked systems with heterogeneous media;
• Network dynamics and synchronization in heterogeneous media;
• Novel applications of networks and heterogeneous media in science and engineering.
Instructions for authors
https://www.aimspress.com/nhm/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/
Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 May 2024
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