Complex Systems and Network Science

Dear Colleagues,

Complex systems, together with network science, are a field of immense significance, due both to their foundational nature and also their wide interdisciplinary nature. Complex systems and networks are present anywhere and cover a huge variety of categories, such as systems biology, ecology, epidemiology, engineering, information systems, physiology, social and economic systems, statistical linguistics, urban systems, and many more. In this topic, we welcome state-of-the-art contributions that can show the power of complex systems and network science, both at theoretical and practical level. We also welcome contributions that marry diverse fields, and in this sense, hybrid contributions that combine techniques from different fields using complex systems and/or network science are also accepted. The following list of arguments is just a short subset of the wide range of subtopics that are included in this call:

• Adaptive networks
• Cliques and communities
• Complex network topologies
• Complex systems and AI
• Complex systems and data science
• Complex systems education
• Computational methods
• Connectivity and centrality
• Criticality
• Dynamic scaling
• Dynamical networks
• Dynamics of information
• Evolution, development, and adaptation
• Industrial applications of complex systems
• Motifs
• Multilayer and multiplex networks
• Multiscale structure and dynamics
• Network efficiency
• Network modeling and analysis
• Network visualization
• Nonlinear dynamics and chaos
• Pattern formation
• Robustness and resilience
• Self-similarity and fractals
• Self-organization
• Small-world and scale-free networks
• Spatiotemporal patterns
• Temporal correlations
• Temporal networks

We welcome contributions that can advance the field in various ways, including case studies, perspectives, research articles and reviews.

Prof. Dr. Massimo Marchiori
Prof. Dr. Latora Vito
Topic Editors